[go: up one dir, main page]

WO2022099704A1 - Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse - Google Patents

Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse Download PDF

Info

Publication number
WO2022099704A1
WO2022099704A1 PCT/CN2020/129099 CN2020129099W WO2022099704A1 WO 2022099704 A1 WO2022099704 A1 WO 2022099704A1 CN 2020129099 W CN2020129099 W CN 2020129099W WO 2022099704 A1 WO2022099704 A1 WO 2022099704A1
Authority
WO
WIPO (PCT)
Prior art keywords
trimesters
fetus
ultrasound data
standard
section
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2020/129099
Other languages
English (en)
Chinese (zh)
Inventor
张福
邹耀贤
林穆清
梁天柱
陈志杰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Mindray Bio Medical Electronics Co Ltd
Original Assignee
Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Mindray Bio Medical Electronics Co Ltd filed Critical Shenzhen Mindray Bio Medical Electronics Co Ltd
Priority to CN202080105560.7A priority Critical patent/CN116322521B/zh
Priority to PCT/CN2020/129099 priority patent/WO2022099704A1/fr
Publication of WO2022099704A1 publication Critical patent/WO2022099704A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00Diagnosis using ultrasonic, sonic or infrasonic waves
    • A61B8/08Clinical applications

Definitions

  • the present application relates to the technical field of ultrasound imaging, and more particularly, to an ultrasound imaging method and an ultrasound imaging system for a fetus in the second and third trimesters.
  • Abdominal ultrasonography is an indispensable part of prenatal ultrasonography. When performing ultrasonography on the abdomen, it is often necessary to check the deformity through standard sections. Whether there are deformities in structures such as kidneys, bladder, and the entrance of the abdominal wall of the umbilical cord. This prenatal examination method can timely and effectively detect fetal abdominal malformations, and carry out corresponding diagnosis and treatment.
  • a first aspect of the embodiments of the present application provides an ultrasound imaging method for a fetus in the middle and late pregnancy, the method comprising:
  • the at least one abdominal standard slice is displayed.
  • a second aspect of the embodiments of the present application provides an ultrasound imaging method for a fetus in the second and third trimesters, the method comprising:
  • the at least one abdominal standard slice is displayed.
  • a third aspect of the embodiments of the present application provides an ultrasound imaging method for a fetus in the second and third trimesters, the method comprising:
  • the at least two different second and third trimester target feature structures include at least two of the following: gastric vesicles, spine bones, liver, umbilicus Veins, descending aorta, inferior vena cava, umbilical cord insertion, umbilical cord, anterior abdominal wall, bladder, legs, umbilical artery, gallbladder;
  • the at least one abdominal standard slice is displayed.
  • a fourth aspect of the embodiments of the present application provides an ultrasonic imaging system
  • the ultrasonic imaging system includes an ultrasonic probe, a transmitting/receiving circuit, a memory, a processor, and a display, where a computer program executed by the processor is stored in the memory , the computer program executes the steps of the ultrasound imaging method for a fetus in the second and third trimesters of the first aspect of the embodiments of the present application when the computer program is run by the processor.
  • a fifth aspect of the embodiments of the present application provides an ultrasonic imaging system, where the ultrasonic imaging system includes an ultrasonic probe, a transmitting/receiving circuit, a memory, a processor, and a display, where a computer program executed by the processor is stored in the memory , the computer program executes the steps of the ultrasound imaging method for a fetus in the second and third trimesters of the second aspect of the embodiments of the present application when the computer program is run by the processor.
  • a sixth aspect of the embodiments of the present application provides an ultrasonic imaging system, where the ultrasonic imaging system includes an ultrasonic probe, a transmitting/receiving circuit, a memory, a processor, and a display, where a computer program executed by the processor is stored in the memory , the computer program executes the steps of the method for ultrasound imaging of a fetus in the second and third trimesters of the third aspect of the embodiments of the present application when the computer program is run by the processor.
  • the ultrasound imaging method and ultrasound imaging system of the fetus in the second and third trimesters of the present application it is possible to automatically extract the standard abdominal slices of the fetus in the second and third trimesters according to the three-dimensional ultrasound data collected in a single time, without the need for doctors to manually extract the standard slices one by one, which greatly optimizes the It can improve the workflow of prenatal examination, effectively improve work efficiency, and improve the stability of the obtained standard section quality, and promote the popularization and application of structural screening in middle and late pregnancy.
  • FIG. 1 shows a schematic block diagram of an ultrasound imaging system according to an embodiment of the present application
  • FIG. 2 shows a schematic flowchart of an ultrasound imaging method for a fetus in the second and third trimesters according to an embodiment of the present invention
  • FIG. 3 shows a schematic diagram of the relationship between the long-axis direction of the body region of the fetus in the second and third trimesters and the standard section of the abdomen according to an embodiment of the present invention
  • FIG. 4 shows a schematic diagram of a cut surface of an umbilical cord insertion opening of a fetus in the second and third trimesters according to an embodiment of the present invention
  • FIG. 5 shows a schematic flowchart of an ultrasound imaging method for a fetus in the second and third trimesters according to another embodiment of the present invention
  • FIG. 6 shows a schematic flowchart of a method for ultrasound imaging of a fetus in the second and third trimesters according to yet another embodiment of the present invention.
  • FIG. 1 shows a schematic structural block diagram of an ultrasound imaging system 100 according to an embodiment of the present application.
  • the ultrasound imaging system 100 includes an ultrasound probe 110 , a transmit/receive circuit 112 , a processor 114 , a display 116 , and a memory 118 . Further, the ultrasound imaging system 100 may further include a beam forming circuit, a transmit/receive selection switch, and the like.
  • the ultrasonic probe 110 includes a plurality of transducer array elements, and the plurality of transducer array elements can be arranged in a row to form a linear array, or arranged in a two-dimensional matrix to form an area array, and the plurality of transducer array elements can also be arranged form a convex array.
  • the transducer is used to transmit ultrasonic waves according to the excitation electrical signal, or convert the received ultrasonic waves into electrical signals, so each array element can be used to realize the mutual conversion of electrical pulse signals and ultrasonic waves, so as to realize the tissue emission to the target area of the measured object.
  • Ultrasound can also be used to receive ultrasound echoes reflected back by tissue.
  • transducers are used for transmitting ultrasonic waves and which transducers are used for receiving ultrasonic waves, or which transducers are used for transmitting ultrasonic waves or receiving ultrasonic waves in time slots through the transmitting sequence and receiving sequence.
  • the transducers participating in ultrasonic emission can be excited by electrical signals at the same time, so as to emit ultrasonic waves at the same time; or, the transducers participating in ultrasonic beam emission can also be excited by several electrical signals with a certain time interval, so as to continuously emit a certain time interval. Ultrasound.
  • the transmit/receive circuit 112 may be connected to the ultrasound probe 110 through a transmit/receive selection switch.
  • the transmit/receive selection switch may also be called a transmit/receive controller, which may include a transmit controller and a receive controller, the transmit controller is used to excite the ultrasound probe 110 to transmit ultrasound to the area where the fetus is located in the second and third trimesters via the transmit circuit; the receive control The device is used to receive ultrasonic echoes returned from the region where the fetus is located in the second and third trimesters through the ultrasonic probe 110 via the receiving circuit, so as to obtain ultrasonic echo data.
  • the transmitting/receiving circuit 112 sends the electrical signal of the ultrasonic echo into the beam forming circuit, and the beam forming circuit performs processing such as focusing delay, weighting and channel summation on the electrical signal, and then sends the processed ultrasonic echo data to the beam forming circuit. into the processor 114.
  • the processor 114 may be implemented by software, hardware, firmware or any combination thereof, and may use circuits, single or multiple application specific integrated circuits (ASICs), single or multiple general-purpose integrated circuits, single or multiple microprocessors, single or multiple programmable logic devices, or any combination of the foregoing circuits and/or devices, or other suitable circuits or devices, thereby enabling the processor 114 to perform the various corresponding steps of the method. Also, the processor 114 may control other components in the ultrasound imaging system 100 to perform desired functions.
  • ASICs application specific integrated circuits
  • microprocessors single or multiple programmable logic devices
  • the processor 114 may control other components in the ultrasound imaging system 100 to perform desired functions.
  • the processor 114 processes the received ultrasound echo data to obtain three-dimensional ultrasound data of the fetus in the second and third trimesters.
  • the ultrasound probe 110 transmits/receives ultrasound in a series of scanning planes, and is integrated by the processor 114 according to its three-dimensional spatial relationship to realize the scanning of the fetus in the three-dimensional space and the reconstruction of the three-dimensional image in the second and third trimesters.
  • the processor 114 performs some or all of the image post-processing steps such as denoising, smoothing, and enhancement, the three-dimensional ultrasound data of the fetus in the second and third trimesters is acquired.
  • the processor 114 may acquire three-dimensional ultrasound data of the whole body of the fetus in the second and third trimesters, or may acquire only the three-dimensional ultrasound data of the head or body of the fetus in the second and third trimesters.
  • the processor 114 is also used for extracting standard slices of the fetus in the second and third trimesters from the three-dimensional ultrasound data. Standard slices obtained by processor 114 may be stored in memory or displayed on display 116 . Also, the processor 114 may render and display the three-dimensional ultrasound data on the display 116 .
  • the display 116 is connected to the processor 114, and the display 116 may be a touch display screen, a liquid crystal display screen, etc.; or the display 116 may be an independent display device such as a liquid crystal display, a television set, etc. independent of the ultrasound imaging system 100; or the display 116 may be Displays of electronic devices such as smartphones, tablets, etc.
  • the number of displays 116 may be one or more.
  • the display 116 may include a main screen and a touch screen, where the main screen is mainly used for displaying ultrasound images, and the touch screen is mainly used for human-computer interaction.
  • Display 116 may display ultrasound images obtained by processor 114 .
  • the display 116 can also provide a graphical interface for the user to perform human-computer interaction while displaying the ultrasonic image, set one or more controlled objects on the graphical interface, and provide the user with a human-computer interaction device to input operating instructions to control these objects.
  • the controlled object so as to perform the corresponding control operation.
  • an icon is displayed on a graphical interface, and the icon can be operated by using a human-computer interaction device to perform a specific function.
  • the ultrasound imaging system 100 may further include other human-computer interaction devices other than the display 116, which are connected to the processor 114.
  • the processor 114 may be connected to the human-computer interaction device through an external input/output port, and the external input/output port may be connected to the human-computer interaction device.
  • the output port can be a wireless communication module, a wired communication module, or a combination of the two.
  • External input/output ports may also be implemented based on USB, bus protocols such as CAN, and/or wired network protocols, and the like.
  • the human-computer interaction device may include an input device for detecting the user's input information, for example, the input information may be a control instruction for the ultrasonic transmission/reception sequence, or a point, line or frame drawn on the ultrasonic image. Manipulate input instructions, or may also include other instruction types.
  • the input device may include one or a combination of a keyboard, a mouse, a scroll wheel, a trackball, a mobile input device (eg, a mobile device with a touch display screen, a cell phone, etc.), a multi-function knob, and the like.
  • the human-computer interaction apparatus may also include an output device such as a printer.
  • the ultrasound imaging system 100 may also include a memory 118 for storing instructions executed by the processor, storing received ultrasound echoes, storing ultrasound images, and the like.
  • the memory 118 may be a flash memory card, solid state memory, hard disk, or the like. It may be volatile memory and/or non-volatile memory, removable memory and/or non-removable memory, and the like.
  • the components included in the ultrasound imaging system 100 shown in FIG. 1 are only illustrative, and may include more or less components. This application is not limited to this.
  • FIG. 2 is a schematic flowchart of a method 200 for ultrasound imaging of a fetus in the second and third trimesters according to an embodiment of the present application.
  • the ultrasound imaging method 200 of a fetus in the second and third trimesters includes the following steps:
  • step S210 ultrasonic waves are transmitted to the fetus in the second and third trimesters, and echoes of the ultrasonic waves are received to obtain ultrasonic echo signals.
  • the fetus in the second and third trimesters includes the fetus in the second trimester and the fetus in the third trimester.
  • the fetus in the second trimester generally refers to the fetus from the 14th to the 27th week of pregnancy
  • the fetus in the third trimester generally refers to the fetus at the 28th week of pregnancy and above.
  • an ultrasound scan may be performed based on the ultrasound imaging system 100 shown in FIG. 1 .
  • the user moves the ultrasound probe 110 to select an appropriate position and angle, and the transmit circuit in the transmit/receive circuit 120 sends a set of delayed and focused pulses to the ultrasound probe 110 , and the ultrasound probe 110 transmits ultrasound to the fetus in the second and third trimesters along the 2D scanning plane.
  • the ultrasonic probe 110 receives the reflected ultrasonic echoes, it converts them into electrical signals, and the beamforming circuit performs corresponding delay and weighted summation processing on the ultrasonic echo signals obtained from multiple transmissions/receptions, so as to realize the beam forming process. It is synthesized and then sent to the processor 114 for subsequent signal processing.
  • step S220 three-dimensional ultrasound data of the fetus in the second and third trimesters is obtained based on the ultrasound echo signal.
  • the three-dimensional spatial relationship of the ultrasound echoes obtained by the ultrasound probe 110 transmitted/received in a series of scanning planes can be integrated, so as to realize the scanning of the fetus in the three-dimensional space and the reconstruction of the three-dimensional ultrasound data in the second and third trimesters.
  • image post-processing steps such as denoising, smoothing, and enhancement
  • three-dimensional ultrasound data of the fetus in the second and third trimesters are obtained.
  • the three-dimensional ultrasound data of the whole body of the fetus in the second and third trimesters may be acquired, or only the three-dimensional ultrasound data of the fetal body region in the second and third trimesters may be acquired.
  • a visualization algorithm may be used to render the three-dimensional ultrasound data, so as to obtain a three-dimensional ultrasound image and display it by using a display device.
  • the method used for rendering the three-dimensional image includes, for example, a surface rendering method or a volume rendering method, which is not limited in this embodiment of the present application.
  • the standard abdominal section is a two-dimensional section containing key information of the abdomen in the three-dimensional ultrasound image.
  • the physiological characteristic structure with clinical value can be observed through the standard abdominal section, which is an important basis for screening abdominal deformities.
  • the subsequently extracted standard abdominal slices include at least one of the following standard slices: abdominal girth slice, umbilical cord insertion slice slice, gallbladder slice, bilateral kidney transverse slice, and bladder and double umbilical artery slice.
  • the abdominal girth section is usually round or oval, and contains information about the gastric vesicle, the umbilical vein, and the transverse section of the spine.
  • the cut surface of the umbilical cord insertion port is usually round or oval, and the normal abdominal wall entrance of the umbilical cord is located in the center of the anterior abdominal wall, which is in a straight line with the spinal echo of the posterior abdominal wall, forming the anterior and posterior central axis of the cut surface of the umbilical cord insertion port.
  • the gallbladder section is usually round or oval in shape and contains information about structures such as the gallbladder.
  • the cross-section of both kidneys is usually round or oval, which contains information about the structure of the two kidneys.
  • the section of the bladder and double umbilical arteries is a transverse section of the lower abdomen, which shows the anechoic area of the bladder, and the color Doppler image shows the umbilical arteries on both sides of the bladder. Subsequent extraction of some or all of the standard abdominal slices above can be performed to perform comprehensive screening of the fetal body region in the second and third trimesters.
  • step S230 the long-axis direction of the fetal body region in the second and third trimesters is determined according to the three-dimensional ultrasound data.
  • determining the long-axis direction of the fetal body region in the second and third trimesters includes but is not limited to the following implementations:
  • the spine region of the fetus in the second and third trimesters may be determined from the three-dimensional ultrasound data acquired in step S220, and the long axis direction of the fetal body in the second and third trimesters may be determined according to the direction of the spine region. Since the spine region is more obvious in the three-dimensional ultrasound images of the fetus in the second and third trimesters, the long-axis direction of the fetal body in the second and third trimesters can be accurately determined according to the position of the spine region.
  • determining the spine region of the fetus in the second and third trimesters in the three-dimensional ultrasound data includes segmenting the spine region of the fetus in the second and third trimesters from the three-dimensional ultrasound data, and the methods include but are not limited to the following two: one is to divide the three-dimensional spine region; The segmentation is transformed into two-dimensional spine region segmentation, that is, the spine region is segmented in multiple two-dimensional slice images of the three-dimensional ultrasound data, and the segmentation results of the spine region on the multiple two-dimensional slice images are combined to obtain the spine in the three-dimensional ultrasound image.
  • the second is to directly perform 3D segmentation on the 3D ultrasound data to obtain the 3D segmentation result of the spine region.
  • the multiple 2D slices extracted from the 3D ultrasound data can be all 2D slices of the 3D ultrasound data, and then the segmentation of the spine region from all the 2D slices can be synthesized results to obtain the segmentation results of the spine in the entire 3D ultrasound data.
  • all the two-dimensional slices of the three-dimensional ultrasound data may be acquired by taking the three-dimensional ultrasound data according to horizontal slices, upper and lower slices, and the like.
  • the multiple 2D slices extracted from the 3D ultrasound data may also be part of the 2D slices in the 3D ultrasound data, that is, the 2D slices are sampled images obtained by sampling the 3D ultrasound data with preset rules, for example
  • the sampled images can be obtained equidistantly in a certain direction or rotated according to a center point to obtain the sampled images, and the spine regions in the sampled images can be segmented. 3D segmentation results of the spine region.
  • a machine learning method or a traditional image processing method can be used to segment the spinal region in a plurality of two-dimensional slice images of the three-dimensional ultrasound data.
  • the 3D ultrasound data in the database is first sliced, and multiple 2D slice images are obtained as training samples, and each 2D slice image is marked with the location of the spine area.
  • These training samples are sent to the network model constructed in advance, and the loss function of the network model is optimized for training until the network model reaches convergence.
  • the network model can learn how to recognize the spine region from a two-dimensional slice image. the location. After training the network model, you only need to input a single two-dimensional slice image into the network model to get the segmentation result of the spine region.
  • the threshold-based image segmentation algorithm is relatively simple and straightforward. Since the spine region and other regions in the ultrasound image have different gray values, based on this property of the spine region, the threshold-based image segmentation can achieve better results. .
  • one or more grayscale values may be preset as a threshold, so that the ultrasound image is divided into a spine region and a background region based on the grayscale values of the ultrasound image.
  • suitable methods can also be used to segment the spine region in the two-dimensional slice images. For example, first pre-segment the 2D slice image by threshold segmentation, Snake, level set, GraphCut, ASM, AAM and other methods to obtain a set of candidate boundary ranges; then perform feature extraction for each candidate boundary range.
  • the extraction method can be to extract traditional image features such as PCA, LDA, HOG, Harr, LBP, etc., or to extract image features based on neural networks; after that, compare the extracted image features with the images extracted from the marked spine regions in the pre-built database. The features are matched, and the discriminators such as KNN, SVM, random forest or neural network are used for classification to determine whether the current candidate boundary range contains the spine region.
  • a 3D convolutional neural network can be used to perform 3D segmentation to obtain a 3D spine region, determine the long axis direction of the spine region, and then determine the long axis direction of the body region.
  • a three-dimensional ultrasound database is pre-built, wherein each three-dimensional ultrasound data is marked with a position corresponding to the spine region, and then the three-dimensional convolutional neural network is trained based on the pre-built database.
  • the 3D ultrasound data does not need to be sliced, and the 3D ultrasound data can be directly input into the trained model to obtain the segmentation results of the spine region.
  • Available 3D Convolutional Neural Networks include, but are not limited to, 3DUnet, 3DFCN, Medical-Net, etc.
  • a traditional 3D segmentation algorithm can be used to segment the spine region in the 3D ultrasound data.
  • Optional 3D segmentation algorithms include but are not limited to 3D Otsu method, 3D threshold segmentation, 3D region growing, 3D level set, split and merge method, etc.
  • the three-dimensional spine region can be directly segmented by the three-dimensional segmentation algorithm, and then the long-axis direction of the fetus can be calculated by using the spine.
  • the long axis direction of the spine region is determined according to the range of the spine region, and the long axis direction is the long axis direction of the fetal body region in the second and third trimesters.
  • a straight line proximate the spinal region may be determined and the direction of the straight line determined as the direction of the spinal region.
  • the straight line closest to the spine region can be fitted by methods such as least squares.
  • RANSAC Hough transform and random sampling consensus algorithm
  • the body region of the second and third trimester fetuses can be determined in the three-dimensional ultrasound data, and the long axis direction of the second and third trimester fetal body can be determined according to the shape of the body region.
  • the manner in which the body region of the fetus in the second and third trimesters is determined in the three-dimensional ultrasound data is similar to the manner in which the spine region is determined as described above.
  • the body region may be firstly segmented in multiple 2D slice images of the 3D ultrasound data, and the segmentation results of the body area on the multiple 2D slice images may be integrated to obtain the 3D segmentation result of the body area in the 3D ultrasound image, wherein
  • the methods for segmenting body regions on 2D slice images include but are not limited to machine learning methods and traditional image processing methods; alternatively, 3D convolutional neural networks or traditional 3D segmentation algorithms can also be used to directly process 3D ultrasound data and directly segment The body area of the fetus in the second and third trimesters.
  • the long axis of the body region is determined according to the shape of the body region, and the long axis direction is determined as the up and down direction of the fetal body region in the second and third trimesters.
  • the principal component analysis (PCA) method or the least squares method can be used to determine the long-axis direction of the body region, or to divide the two points that are farthest away in the above-mentioned body region, and the connection between the two points is the body region. long axis.
  • manual segmentation methods can also be used to determine the long axis direction of the fetal body in the second and third trimesters. That is, a user instruction for determining the direction of the long axis is received, and the direction of the long axis of the fetal body in the second and third trimesters is determined according to the received user instruction. Users only need to specify the direction of the long axis to obtain at least one standard abdominal slice without manually extracting the standard abdominal slices one by one.
  • step S240 information about the target feature structure of the fetus in the second and third trimesters of pregnancy is extracted from the three-dimensional ultrasound data, and the feature structure of the second and third trimester fetuses includes at least one of the following: gastric vesicles, spine bones, liver, umbilical veins , descending aorta, inferior vena cava, umbilical cord insertion, umbilical cord, anterior abdominal wall, bladder, legs, umbilical artery, gallbladder.
  • the above-mentioned target feature structure in the second and third trimesters is a specific target feature structure in the second and third trimesters of pregnancy, and is also a landmark structure for obtaining a specific standard abdominal section. Therefore, it is first necessary to analyze the information of the characteristic structures of these mid-late pregnancy targets, such as obtaining their positions and volumes. Among them, it is possible to detect the region where the feature structure of the mid-late pregnancy target is located in multiple two-dimensional slice images of the three-dimensional ultrasound data, and synthesize the segmentation results of the feature structure of the mid-late pregnancy target on the multiple two-dimensional slice images, so as to obtain the mid-late pregnancy target feature structure.
  • the 3D segmentation result of the feature structure of the pregnancy target in the 3D ultrasound image it can also directly perform 3D segmentation on the 3D ultrasound data, so as to obtain the 3D segmentation result of the feature structure of the middle and late pregnancy target.
  • the pre-trained target segmentation network can be used to extract the target feature structure of the second and third trimesters in the multiple 2D slice images of the 3D ultrasound data.
  • the segmentation method based on machine learning needs to construct an ultrasound image database in advance, in which each ultrasound image is marked with the information of each mid-late pregnancy target feature structure in various abdominal standard slices, specifically including: whether the mid-late pregnancy target feature structure exists, Types of target eigenstructures in the second and third trimesters and the location of the second and third trimester target eigenstructures.
  • the target segmentation method based on deep learning mainly includes the feature learning and parameter regression of the pre-built database by stacking convolutional layers and fully connected layers, so that after obtaining the input ultrasound image, the network can directly predict the The position of the late pregnancy target feature structure, and the category of the middle and late pregnancy target feature structure is output.
  • Optional networks include: RCNN, Fast RCNN, Faster-RCNN, YOLO, SSD, Retina-Net, and more.
  • a 3D convolutional neural network can be used for 3D segmentation to obtain a 3D region where the target feature structure of the middle and late pregnancy is located.
  • a three-dimensional ultrasound database is pre-built, in which each three-dimensional ultrasound data is marked with information such as the position and type corresponding to the feature structure of the target in the middle and late pregnancy, and then the three-dimensional convolutional neural network is trained based on the pre-built database.
  • the 3D ultrasound data does not need to be sliced, and the 3D ultrasound data can be directly input into the trained model to obtain the information of the target feature structure in the second and third trimesters.
  • hypoechoic structures such as transparent bladder, gastric vesicle, gallbladder, and umbilical vein to obtain the locations of these hypoechoic structures, and then use KNN, SVM, random forest or A classifier such as a neural network performs category judgment on these positions to determine the position of the target feature structure in the second and third trimesters.
  • step S250 at least one standard abdominal slice of the fetus in the second and third trimesters is extracted from the three-dimensional ultrasound data according to the long-axis direction of the fetal body in the second and third trimesters and the information on the target feature structure of the second and third trimesters.
  • the cut plane that forms a preset angle with the long axis direction of the fetal body region in the second and third trimesters and meets the preset requirements with the overlapping area with the target feature structure of the second and third trimesters can be determined as the abdominal standard cut plane.
  • the preset angle may be approximately equal to or equal to 90°, that is, the standard abdominal section is perpendicular to the long axis direction.
  • FIG. 3 shows the three-dimensional ultrasound image of the fetus in the second and third trimesters, the direction of the long axis and the direction of the standard slice of the abdomen perpendicular to the direction of the long axis.
  • the target feature structure of the second and third pregnancy Since the target feature structure of the second and third pregnancy has a certain volume, it is at a preset angle to the long axis, and there may be multiple sections passing through the area where the target feature structure of the second and third pregnancy is located.
  • the slices whose overlapping areas meet the preset requirements are used as the standard slices of the abdomen.
  • the coincidence area with the target feature structure of the second and third trimesters meets the preset requirements, which may be that the target feature structure of the second and third trimesters has the largest area on the standard abdominal section, or the standard section of the abdomen passes through the center point of the target feature structure of the second and third trimesters.
  • the standard abdominal section extracted in this way can provide more information, and is helpful to standardize the extraction standard of standard abdominal section between different regions, different hospitals and different doctors.
  • a section perpendicular to the long axis direction and at least partially coincident with the at least two mid-late pregnancy target feature structures may also be determined as a standard abdominal section, so as to improve the accuracy of the extracted standard abdominal section.
  • the abdominal girth section is a section perpendicular to the long axis and at least partially coincident with the gastric bubble area and the umbilical vein area;
  • the umbilical cord insertion port section is a section perpendicular to the long axis and at least partially coincident with the umbilical cord insertion port area, as shown in the figure 4;
  • the gallbladder section is the section perpendicular to the long axis and at least partially coincident with the gallbladder area;
  • the double kidney section is the section perpendicular to the long axis and at least partially coincident with the double kidney area;
  • the bladder section is perpendicular to the long axis and a section that at least partially coincides with the bladder area and the umbilical artery area on both sides of the bladder.
  • the method for automatically obtaining the standard abdominal slice is shown above.
  • a semi-automatic detection method can also be used, that is, the extraction range of the standard abdominal slice is first limited, and the ultrasound imaging system receives the user who determines the extraction range of the standard abdominal slice. an instruction, determining an extraction range according to the received user instruction, and extracting the abdominal standard slice within the extraction range.
  • the user can limit the extraction range to the abdominal area of the fetus in the second and third trimesters to remove some unnecessary interferences, thereby improving the quality of the standard abdominal section.
  • the automatic extraction of a standard slice of the abdomen may be performed automatically after acquiring the three-dimensional ultrasound data, or may be performed according to a received user instruction.
  • a user can activate the function of automatically extracting a standard abdominal slice by triggering a button for extracting a standard abdominal slice.
  • the standard slice of the abdomen is extracted.
  • the user may also activate the function of automatically extracting a standard abdominal slice before starting to acquire ultrasound data, and then automatically extract a standard slice of the abdomen after acquiring the three-dimensional ultrasound data.
  • the standard abdominal section is an important basis for the screening of abdominal deformities. By observing the standard abdominal section, it can be judged whether the fetal abdominal development is normal in the second and third trimesters.
  • the standard slice to be extracted may also be determined first according to the received user input. For example, options for standard abdominal slices such as abdominal circumference slices and umbilical cord insertion opening slices may be displayed on the user interface, and the standard abdominal slices to be extracted may be determined according to the user's selection.
  • step S260 the standard abdominal slice is displayed.
  • the displayed standard cut planes may be all the standard cut planes extracted in step S250, or may be part of the standard cut planes. Exemplarily, when the standard slices extracted in step S250 are displayed, some of the standard slices may be displayed according to the received user instruction. The corresponding standard slice is displayed.
  • the position of the second and third trimester target feature structures detected from the three-dimensional ultrasound data can also be displayed, so as to For users to conduct comparative analysis.
  • the long-axis direction determined in step S230 may also be displayed, so that the user can view the associated standard abdominal slice in combination with the target direction.
  • the target direction may be displayed at the same time as the three-dimensional ultrasound image is displayed.
  • the direction of the long axis of the fetal body region in the second and third trimesters can be displayed by graphical markers such as arrows.
  • the name of each determined standard slice may also be displayed, so that the user can intuitively determine the type of the standard slice, or select the standard slice to be viewed according to the name of the standard slice.
  • the names of the standard slices can be displayed synchronously with the standard slices, or, the names of each standard slice can be displayed on the display interface first, and when the user selects the name of the standard slice, the corresponding standard slice is displayed.
  • the ultrasound imaging method 200 of the fetus in the second and third trimesters of the embodiment of the present application can automatically determine at least one standard abdominal slice according to the long-axis direction of the body region of the fetus in the second and third trimesters and the information on the target feature structure of the second and third trimesters, without the need for
  • the doctor manually extracts the standard abdominal sections one by one, which greatly optimizes the workflow of prenatal examination, effectively improves work efficiency, and can improve the stability of the quality of the obtained standard abdominal sections, and promote the promotion and application of structural screening in the middle and late pregnancy.
  • Embodiments of the present application further provide an ultrasound imaging system for implementing the above-mentioned ultrasound imaging method 200 for a fetus in the second and third trimesters.
  • the ultrasonic imaging system includes an ultrasonic probe, a transmitting/receiving circuit, a memory, a processor and a display, wherein a computer program executed by the processor is stored in the memory, and when the computer program is executed by the processor, an ultrasonic imaging method for a fetus in the second and third trimesters is executed 200 steps.
  • the ultrasound imaging system may be implemented as ultrasound imaging system 100 as shown in FIG. 1 .
  • the ultrasound imaging system 100 may include the ultrasound probe 110 , the transmit/receive circuit 112 , the processor 114 , and the display 116 , and the relevant descriptions of the various components can be referred to above.
  • the transmitting/receiving circuit 112 is used to excite the ultrasonic probe 110 to transmit ultrasonic waves to the fetus in the second and third trimesters, and receive the echoes of the ultrasonic waves to obtain ultrasonic echo signals; the processor 114 The method is used for: obtaining three-dimensional ultrasound data of the fetus in the second and third trimesters based on the ultrasound echo signal; determining the long-axis direction of the fetal body region in the second and third trimesters according to the three-dimensional ultrasound data; extracting the target features of the fetus in the second and third trimesters from the three-dimensional ultrasound data Structural information, the target feature structure in the second and third trimester includes at least one of the following: gastric vesicle, spinal bone, liver, umbilical vein, descending aorta, inferior vena cava, umbilical cord insertion, umbilical cord, anterior abdominal wall, bladder, legs, um
  • the ultrasound imaging system of the embodiment of the present application can automatically determine the standard abdominal section of the fetus in the second and third trimesters, thereby improving the work efficiency and the quality of the standard abdominal section.
  • FIG. 5 is a schematic flowchart of a method 500 for ultrasound imaging of a fetus in the second and third trimesters according to an embodiment of the present application.
  • the ultrasound imaging method 500 of the fetus in the second and third trimesters includes the following steps:
  • step S510 transmitting ultrasonic waves to the fetus in the second and third trimesters, and receiving echoes of the ultrasonic waves to obtain ultrasonic echo signals;
  • step S520 obtain three-dimensional ultrasound data of the fetus in the second and third trimesters based on the ultrasound echo signal;
  • step S530 the target direction of the fetal body region in the second and third trimesters is determined according to the three-dimensional ultrasound data
  • step S540 extract information about the target feature structure of the fetus in the second and third trimesters from the three-dimensional ultrasound data;
  • step S550 extract at least one standard abdominal section of the fetus in the second and third trimesters from the three-dimensional ultrasound data according to the target direction and the information on the target feature structure of the second and third trimesters;
  • step S560 the at least one abdominal standard slice is displayed.
  • Steps S510 and S520 in the ultrasound imaging method 500 for a fetus in the second and third trimesters according to the embodiment of the present application are substantially similar to steps S210 and S220 in the ultrasound imaging method 200 described with reference to FIG. Repeating the same details, the following mainly describes in detail the manner in which the standard slice is determined according to the three-dimensional ultrasound data in the method 500 .
  • the target direction determined according to the three-dimensional ultrasound data is not limited to the long axis direction of the fetal body region in the second and third trimesters.
  • the target direction may include the up-down direction of the body region (ie, the long-axis direction above), the front-rear direction, and the left-right direction, hereinafter referred to as the first direction, the second direction, and the third direction, respectively.
  • determining the target direction of the fetal body region in the second and third trimesters according to the three-dimensional ultrasound data includes: determining the spine region of the fetus in the second and third trimesters from the three-dimensional ultrasound data, and determining the middle and late pregnancy according to the direction of the spine region.
  • Target orientation of fetal body regions during pregnancy Since the spine region is more obvious in the three-dimensional ultrasound image, the target direction of the fetal body region in the second and third trimesters can be accurately determined according to the position of the spine region.
  • the method for determining the spine region may include segmenting the spine region in multiple two-dimensional slice images of the three-dimensional ultrasound data, and synthesizing the segmentation results of the spine region on the multiple two-dimensional slice images, so as to obtain the three-dimensional spine in the three-dimensional ultrasound image. segmentation result; or, directly perform 3D segmentation on the 3D ultrasound data to obtain a 3D segmentation result of the spine region.
  • the specific details of the method of determining the spine region in the three-dimensional ultrasound data can be referred to above.
  • the up-down and front-back directions of the fetal body region in the second and third trimesters can be directly determined through the segmentation results of the spine region.
  • determining the up and down direction of the fetal body region in the second and third trimesters according to the direction of the spine region includes: determining a straight line close to the spine region, and determining the direction of the straight line as the first direction of the fetal body region in the second and third trimesters, that is, the up and down direction.
  • the straight line closest to the spine region can be fitted by methods such as least squares, or the straight line with the brightest brightness obtained by using methods such as Hough transform and RANSAC in traditional image processing methods can be directly used as the closest line.
  • Straight lines in the spine area can be fitted by methods such as least squares, or the straight line with the brightest brightness obtained by using methods such as Hough transform and RANSAC in traditional image processing methods can be directly used as the closest line.
  • Straight lines in the spine area can be fitted by methods such as least squares, or
  • the second direction of the fetal body region in the second and third trimesters can be further determined according to the up and down direction, that is, the front-rear direction.
  • one or more cross-sections of the body region perpendicular to the above-determined up-down direction can be extracted from the three-dimensional ultrasound data of the fetal body in the second and third trimesters, and machine learning or traditional image processing methods are used to detect the body region in the cross-section of the body region
  • the position of the center point and the spine is determined, and the direction of the line connecting the center point of the body region and the position of the spine is determined as the second direction of the fetal body region in the second and third trimesters, that is, the front-to-back direction, and the second direction is perpendicular to the first direction.
  • the front-back direction of the body region can also be directly determined according to the segmentation result of the spine region, without the need to determine the front-back direction based on the up-down direction of the body region.
  • a curve close to the spine can be determined, and the convex direction of the curve can be determined as the front-back direction of the fetal body region in the second and third trimesters.
  • a method such as least squares can be used to fit an arc closest to the spine as the above curve, or the arc with the brightest brightness obtained in the traditional image processing method can be directly obtained as the above curve.
  • the direction of the body region can also be determined according to the shape characteristics of the fetal body region in the second and third trimesters, that is, the body region of the second and third trimester fetuses can be detected from the 3D ultrasound data, and the target direction can be determined according to the shape of the body region. Since the shape characteristics of the fetal body region in the upper and lower directions in the second and third trimesters are more obvious, and the shape difference between the front and rear directions and the left and right directions is small, this method is mainly used to determine the upper and lower directions of the fetal body region in the second and third trimesters.
  • a machine learning or image processing method can be used to determine the body region of the fetus in the second and third trimesters in the three-dimensional ultrasound data, wherein the determined body region may be a region of interest frame (ROI) that is determined to surround the body of the fetus in the second and third trimesters, or Segment the specific area of the fetal body in the second and third trimesters.
  • ROI region of interest frame
  • the long axis of the body region is determined according to the shape of the body region, and the direction of the long axis is determined as the up-down direction of the fetal body region in the second and third trimesters.
  • a principal component analysis (PCA) method can be used to determine the long axis of the body region, or to detect the two most distant points in the above body region, and the line connecting the two points is the long axis of the body region.
  • PCA principal component analysis
  • the up-down direction and the anterior-posterior direction of the fetal body region in the second and third trimesters can be determined by using any of the above methods or any other feasible methods.
  • the direction perpendicular to the anterior-posterior direction is determined as the left-right direction of the fetal body in the second and third trimesters.
  • the left and right directions of the fetal body region in the second and third trimesters can also be determined according to some specific target feature structures of the fetus in the second and third trimesters.
  • symmetrical features in the fetal body region in the second and third trimesters can be detected in the three-dimensional ultrasound data.
  • the position of the structure was determined, and the direction of the line connecting the symmetrical features was determined as the left and right direction of the fetal body area in the second and third trimesters.
  • the symmetrical characteristic structure is, for example, a symmetrical characteristic structure such as two kidneys, two lungs, and left and right ribs.
  • the left and right atriums of the fetus in the second and third trimesters can also be detected.
  • the direction of the connection between the left and right atriums generally forms an angle of 45° with the left and right directions of the fetal body region in the second and third trimesters. According to this feature, the left and right directions of the fetal body region in the second and third trimesters can also be determined.
  • step S540 information about the target feature structure of the fetus in the second and third trimesters is extracted from the three-dimensional ultrasound data.
  • the target feature structure of the second and third pregnancy includes at least one of the following: gastric vesicle, spinal bone, liver, umbilical vein, descending aorta, inferior vena cava, umbilical cord insertion, umbilical cord, anterior abdominal wall, bladder, legs, umbilical artery, gallbladder .
  • the target feature structure of the second and third trimesters corresponds to the standard abdominal section to be extracted.
  • the type of the standard abdominal slice to be extracted is first determined, and then the target feature structure of the second and third trimesters corresponding to the type of the standard abdominal slice is determined.
  • the standard abdominal section includes at least one of the following: abdominal girth section, umbilical cord insertion port section, gallbladder section, bilateral kidney transverse section, bladder and double umbilical artery section.
  • the target feature structure of the second trimester includes at least one of the following: gastric vesicle, spinal bone, liver, umbilical vein, descending aorta and inferior vena cava; when the standard abdominal section is the umbilical cord insertion port
  • the target feature structures of the second and third trimesters include at least one of the following: umbilical cord insertion, umbilical cord, spine, anterior abdominal wall and descending aorta
  • the second trimester target feature structures include: At least one of the following: bladder and umbilical artery; when the standard abdominal section is the gallbladder section, the target characteristic structures in the second and third trimesters include gallbladder and spine; when the standard abdominal section is the transverse section of both kidneys, the target characteristic structures in the second and third trimesters include Kidneys and spine.
  • any suitable image detection or segmentation method can be used to determine the position of the target feature structure of the second and third trimesters.
  • a traditional machine learning method or a deep learning method can be used to train a machine learning model for the target feature structure of the middle and late pregnancy corresponding to each standard abdominal slice, so as to determine the position of the target feature structure.
  • a fetal ultrasound database in the second and third trimesters is established in advance. Each 3D ultrasound data in the database marks the position of the fetal target feature structure in the second and third trimesters, such as its region of interest frame or specific region range.
  • a machine learning method or a deep learning method is used to learn an optimal mapping function, which is used to obtain the region of interest frame or specific area range of the target feature structure of the second and third trimesters from the three-dimensional ultrasound data of the fetus in the second and third trimesters, so as to realize the target feature of the second and third trimesters. Detection or segmentation of structures.
  • step S550 according to the target direction determined in step S530 and the information of the target feature structure of the second and third trimesters determined in step S540, at least one standard abdominal section of the fetus in the second and third trimesters is extracted from the three-dimensional ultrasound data. Specifically, a cut plane that forms a preset angle with the target direction and meets the preset requirements with the overlapping area with the target feature structure of the second and third trimesters can be determined as the standard abdomen cut plane.
  • the overlapping area with the target feature structure of the second and third trimesters meeting the preset requirements includes: the target feature structure of the second and third trimesters has the largest area on the standard abdominal section, or the standard section of the abdomen passes through the center point of the target feature structure of the second and third trimesters. .
  • the above preset angles are different.
  • the transverse section of the body region such as the abdominal circumference section, the umbilical cord insertion incision section, and the bilateral kidney transverse section are parallel or approximately parallel to the anterior-posterior or left-right direction of the body area, that is, the preset angle with the anterior-posterior or left-right direction is about 0 °; perpendicular or approximately perpendicular to the up-down direction of the body area, that is, the preset angle with the up-down direction is about 90°.
  • the displayed standard slices of the abdomen may be part or all of the standard slices extracted in step S550.
  • the name of the abdominal standard slices can also be displayed.
  • the target feature structures of the second and third trimesters detected from the 3D ultrasound data can also be displayed.
  • a ROI frame surrounding the target feature structure of the second and third trimesters is displayed or an outline showing the feature structure of the second and third trimester target is displayed.
  • Embodiments of the present application further provide an ultrasound imaging system for implementing the above-mentioned ultrasound imaging method 500 for a fetus in the second and third trimesters.
  • the ultrasonic imaging system includes an ultrasonic probe, a transmitting/receiving circuit, a memory, a processor and a display, wherein a computer program executed by the processor is stored in the memory, and when the computer program is executed by the processor, an ultrasonic imaging method for a fetus in the second and third trimesters is executed 500 steps.
  • the ultrasound imaging system may be implemented as ultrasound imaging system 100 as shown in FIG. 1 .
  • the ultrasound imaging system 100 may include the ultrasound probe 110 , the transmit/receive circuit 112 , the processor 114 , and the display 116 , and the relevant descriptions of the various components can be referred to above.
  • the transmitting/receiving circuit 112 is used to excite the ultrasonic probe 110 to transmit ultrasonic waves to the fetus in the second and third trimesters, and receive the echoes of the ultrasonic waves to obtain ultrasonic echo signals;
  • the processor 114 It is used for: determining the target direction of the fetal body region in the second and third trimesters according to the three-dimensional ultrasound data; extracting the information about the target feature structure of the second and third trimester fetuses in the three-dimensional ultrasound data; according to the target direction Extracting at least one standard abdominal section of the fetus in the second and third trimesters from the three-dimensional ultrasound data and the information on the target feature structure of the second and third trimesters; the display 116 is configured to display the at least one standard abdominal section.
  • the ultrasound imaging method 500 and the ultrasound imaging system of the fetus in the second and third trimesters of the present application automatically determine the standard abdominal section of the fetus in the second and third trimesters according to the target direction of the fetus in the second and third trimesters and the target feature structure of the second and third trimesters, without the need for doctors to manually extract the abdomen one by one.
  • the standard section greatly optimizes the workflow of prenatal examination, effectively improves work efficiency, and can improve the stability of the quality of the obtained standard abdominal section, and promote the popularization and application of structural screening in the middle and late pregnancy.
  • FIG. 6 is a schematic flowchart of a method 600 for ultrasound imaging of a fetus in the second and third trimesters according to an embodiment of the present application.
  • an ultrasound imaging method 600 of a fetus in the second and third trimesters includes the following steps:
  • step S610 transmitting ultrasonic waves to the fetus in the second and third trimesters, and receiving echoes of the ultrasonic waves to obtain ultrasonic echo signals;
  • step S620 obtain three-dimensional ultrasound data of the fetus in the second and third trimesters based on the ultrasound echo signal;
  • step S630 at least two different regions of the second and third pregnancy target feature structures are detected from the three-dimensional ultrasound data, and the at least two different second and third trimester pregnancy target feature structures include at least two of the following: gastric bubbles, spine bones , liver, umbilical vein, descending aorta, inferior vena cava, umbilical cord insertion, umbilical cord, anterior abdominal wall, bladder, legs, umbilical artery, gallbladder;
  • step S640 at least one section that at least partially overlaps with each of the at least two different regions of the second and third trimester target feature structures is determined as the at least one section of the second and third trimester fetuses.
  • step S650 the at least one standard abdominal slice is displayed.
  • Steps S610 and S620 in the ultrasound imaging method 600 for a fetus in the second and third trimesters according to the embodiment of the present application are substantially similar to steps S210 and S220 in the ultrasound imaging method 200 described with reference to FIG. Repeating the same details, the following mainly describes in detail the manner in which the standard slice is determined according to the three-dimensional ultrasound data in the method 600 .
  • step S630 detecting at least two different regions of target feature structures of the second and third trimesters from the three-dimensional ultrasound data includes: acquiring the type of the standard abdominal slice; detecting at least two regions corresponding to the type of the standard abdominal slice from the three-dimensional ultrasound data regions with different target feature structures in the second and third trimesters.
  • the standard view of the abdomen of the fetus in the second and third trimesters includes at least one of the following: abdominal circumference view, umbilical cord insertion port view, gallbladder view, bilateral kidney transverse view, bladder and double umbilical artery view.
  • the target feature structures that need to be detected in the second and third trimesters include at least one of the following: gastric vesicle, spinal bone, liver, umbilical vein, descending aorta and inferior vena cava; when the standard abdominal section is umbilical cord insertion
  • the target feature structures of the second and third trimesters that need to be detected include at least one of the following: umbilical cord insertion, umbilical cord, spinal bone, anterior abdominal wall and descending aorta; when the standard abdominal view is the bladder and double umbilical arteries, the The target feature structure in the second and third trimesters includes at least one of the bladder and the umbilical artery; when the standard abdominal section is the gallbladder section, the target feature structure in the second and third trimesters to be detected includes at least one of the gallbladder and the spine; when the standard abdominal section is the double When the kidney is cross-sectioned, the target feature structures that need to be detected
  • any suitable image detection or segmentation method can be used to determine the position of the feature structure of the target in the second and third trimesters.
  • a traditional machine learning method or a deep learning method can be used to train a machine learning model for the feature structure corresponding to each standard slice, so as to determine the position of the feature structure.
  • a fetal ultrasound database in the second and third trimesters is established in advance, and each 3D ultrasound data in the database marks the position of the fetal target feature structure in the second and third trimesters, such as its region of interest (ROI) or specific area range, Then, traditional machine learning methods or deep learning methods are used to learn an optimal mapping function, which is used to obtain the region of interest box (ROI) or specific area range of the target feature structure of the second and third trimesters from the three-dimensional ultrasound data of the fetus in the second and third trimesters.
  • ROI region of interest box
  • step S640 for the standard abdominal slice to be extracted, first obtain the type of the standard abdominal slice, determine the target feature structure of the middle and late pregnancy corresponding to the type of the standard abdominal slice, and detect the difference between the standard slice and the abdominal slice from the three-dimensional ultrasound data. Types of regions corresponding to at least two different target features in the second and third trimesters. Afterwards, a section that at least partially overlaps with the at least two different target feature structures of the second and third trimesters is determined as the detection result of the standard section of the abdomen. Specifically, a cut plane substantially coincident with each of the regions of the at least two different mid-late pregnancy target feature structure regions may be determined as a standard cut plane.
  • substantially coincident with the area of each mid-late pregnancy target feature structure in at least two different mid-late pregnancy target feature structure regions can be realized as passing through the center point of at least two mid-late pregnancy target feature structures, or at least The two target feature structures in the second and third trimesters have the largest cross-sectional area on the extracted standard slices of the abdomen, and so on.
  • slices that at least partially overlap with three or more different mid-late pregnancy target feature structures may be determined as the detection results of the standard slices of the abdomen.
  • the displayed abdominal standard slices may be part or all of the abdominal standard slices extracted in step S640.
  • it can also display the name of the standard abdominal slices.
  • it can also display the target feature structure of the second and third pregnancy detected from the 3D ultrasound data.
  • the target feature structure of the second and third pregnancy can be displayed in the middle and late pregnancy In the three-dimensional ultrasound image of the fetus during pregnancy, for example, a ROI frame surrounding the target feature structure of the second and third trimesters is displayed or an outline showing the feature structure of the second and third trimester target is displayed.
  • Embodiments of the present application further provide an ultrasound imaging system for implementing the above-mentioned ultrasound imaging method 600 for a fetus in the second and third trimesters.
  • the ultrasonic imaging system includes an ultrasonic probe, a transmitting/receiving circuit, a memory, a processor and a display, wherein a computer program executed by the processor is stored in the memory, and when the computer program is executed by the processor, an ultrasonic imaging method for a fetus in the second and third trimesters is executed 600 steps.
  • the ultrasound imaging system may be implemented as ultrasound imaging system 100 as shown in FIG. 1 .
  • the ultrasound imaging system 100 may include the ultrasound probe 110 , the transmit/receive circuit 112 , the processor 114 , and the display 116 , and the relevant descriptions of the various components can be referred to above.
  • the transmitting/receiving circuit 112 is used to excite the ultrasonic probe 110 to transmit ultrasonic waves to the fetus in the second and third trimester, and receive the echoes of the ultrasonic waves to obtain ultrasonic echo signals;
  • the processor 114 Used for: obtaining three-dimensional ultrasound data of the fetus in the second and third trimesters based on the ultrasound echo signals; in step S630, detecting at least two different regions of the second and third trimester target feature structures from the three-dimensional ultrasound data, at least two different regions of the second trimester and third trimester pregnancy
  • the target feature structure includes at least two of the following: gastric vesicle, spinal bone, liver, umbilical vein, descending aorta, inferior vena cava, umbilical cord insertion, umbilical cord, anterior abdominal wall, bladder, legs, umbilical artery, and gallbladder; in step S640 , determining at least one cut plane that at least partially
  • the ultrasound imaging method 600 for a fetus in the second and third trimesters and the ultrasound imaging system of the embodiments of the present application automatically determine the standard abdominal section of the fetus in the second and third trimesters according to at least two target feature structures of the fetus in the second and third trimesters, eliminating the need for a doctor to manually extract the abdomen one by one
  • the standard section greatly optimizes the workflow of prenatal examination, effectively improves work efficiency, and can improve the stability of the quality of the obtained standard abdominal section, and promote the popularization and application of structural screening in the middle and late pregnancy.
  • a computer storage medium is also provided, where program instructions are stored on the computer storage medium, and the program instructions are used to execute the methods of the embodiments of the present application when the program instructions are run by a computer or a processor 200. Corresponding steps of method 500 or method 600.
  • the storage medium may include, for example, a memory card of a smartphone, a storage component of a tablet computer, a hard disk of a personal computer, read only memory (ROM), erasable programmable read only memory (EPROM), portable compact disk read only memory (CD-ROM), USB memory, or any combination of the above storage media.
  • the computer-readable storage medium can be any combination of one or more computer-readable storage media.
  • a computer program is also provided, and the computer program can be stored in the cloud or on a local storage medium.
  • the computer program is run by a computer or a processor, it is used to execute the corresponding steps of the ultrasound imaging method for a fetus in the second and third trimesters of the embodiments of the present application.
  • the standard abdominal section of the fetus in the second and third trimesters can be automatically determined according to the three-dimensional ultrasound data collected in a single time, without the need for a doctor to manually extract the abdomen one by one.
  • the standard section greatly optimizes the workflow of prenatal examination, effectively improves work efficiency, and improves the stability of the quality of the obtained standard abdominal section, and promotes the popularization and application of structural screening in middle and late pregnancy.
  • the disclosed apparatus and method may be implemented in other manners.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or May be integrated into another device, or some features may be omitted, or not implemented.
  • Various component embodiments of the present application may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof.
  • a microprocessor or a digital signal processor (DSP) may be used in practice to implement some or all functions of some modules according to the embodiments of the present application.
  • DSP digital signal processor
  • the present application can also be implemented as a program of apparatus (eg, computer programs and computer program products) for performing part or all of the methods described herein.
  • Such a program implementing the present application may be stored on a computer-readable medium, or may be in the form of one or more signals. Such signals may be downloaded from Internet sites, or provided on carrier signals, or in any other form.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Pathology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Ultra Sonic Daignosis Equipment (AREA)

Abstract

Procédé d'échographie et système d'échographie d'un fœtus en milieu et fin de grossesse. Le procédé comprend les étapes suivantes : S220, l'obtention de données ultrasonores tridimensionnelles d'un fœtus en milieu et fin de grossesse ; S230, la détermination d'une direction d'un axe long d'une région corporelle du fœtus en milieu et fin de grossesse en fonction des données ultrasonores tridimensionnelles ; S540, l'extraction, à partir des données ultrasonores tridimensionnelles, des informations de structures caractéristiques cibles du fœtus en milieu et fin de grossesse, les structures caractéristiques cibles en milieu et fin de grossesse comprenant au moins un élément parmi : la bulle gastrique, la colonne vertébrale, le foie, les veines ombilicales, l'aorte thoracique descendante, la post-veine, la position où un cordon ombilical est inséré, le cordon ombilical, la paroi abdominale antérieure, la vessie, les deux jambes, l'artère ombilicale et la vésicule biliaire ; et en fonction de la direction de l'axe long et des informations des structures caractéristiques cibles en milieu et fin de grossesse, S560, l'extraction, à partir des données ultrasonores tridimensionnelles, d'au moins une section abdominale standard du fœtus en milieu et fin de grossesse et l'affichage de la section abdominale standard. Dans le procédé d'échographie et le système d'échographie, la section abdominale standard du fœtus en milieu et fin de grossesse est automatiquement extraite en fonction des données ultrasonores tridimensionnelles collectées à un moment sans extraire manuellement les sections abdominales standard une par une par un médecin, ce qui permet d'améliorer l'efficacité d'extraction des sections abdominales standard et la qualité des sections abdominales standard extraites.
PCT/CN2020/129099 2020-11-16 2020-11-16 Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse Ceased WO2022099704A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202080105560.7A CN116322521B (zh) 2020-11-16 2020-11-16 中晚孕期胎儿的超声成像方法和超声成像系统
PCT/CN2020/129099 WO2022099704A1 (fr) 2020-11-16 2020-11-16 Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2020/129099 WO2022099704A1 (fr) 2020-11-16 2020-11-16 Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse

Publications (1)

Publication Number Publication Date
WO2022099704A1 true WO2022099704A1 (fr) 2022-05-19

Family

ID=81602062

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2020/129099 Ceased WO2022099704A1 (fr) 2020-11-16 2020-11-16 Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse

Country Status (2)

Country Link
CN (1) CN116322521B (fr)
WO (1) WO2022099704A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116327246A (zh) * 2023-03-17 2023-06-27 飞依诺科技股份有限公司 胎心定位方法、装置、设备及存储介质
CN116362548A (zh) * 2023-04-19 2023-06-30 江苏久和机械有限公司 一种标准节可用性管理方法、系统、装置和存储介质

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN119399569A (zh) * 2024-09-06 2025-02-07 中国农业大学 一种基于深度学习和灰度值定标的鸡睾丸重量预测方法及装置

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103955698A (zh) * 2014-03-12 2014-07-30 深圳大学 从超声图像中自动定位标准切面的方法
CN110742654A (zh) * 2019-11-05 2020-02-04 深圳度影医疗科技有限公司 一种基于三维超声图像的标准切面的定位和测量方法
US20200155114A1 (en) * 2018-11-15 2020-05-21 Samsung Medison Co., Ltd. Ultrasound diagnosis apparatus for determining abnormality of fetal heart, and operating method thereof
CN111368586A (zh) * 2018-12-25 2020-07-03 深圳迈瑞生物医疗电子股份有限公司 超声成像方法及系统
US20200261053A1 (en) * 2019-02-15 2020-08-20 Samsung Medison Co., Ltd. Method and apparatus for displaying ultrasound image and computer program product

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108324318B (zh) * 2017-01-20 2021-07-23 深圳开立生物医疗科技股份有限公司 超声图像处理方法、装置及超声诊断设备
CN111374712B (zh) * 2018-12-28 2023-04-21 深圳迈瑞生物医疗电子股份有限公司 一种超声成像方法及超声成像设备
CN110464380B (zh) * 2019-09-12 2021-10-29 李肯立 一种对中晚孕期胎儿的超声切面图像进行质量控制的方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103955698A (zh) * 2014-03-12 2014-07-30 深圳大学 从超声图像中自动定位标准切面的方法
US20200155114A1 (en) * 2018-11-15 2020-05-21 Samsung Medison Co., Ltd. Ultrasound diagnosis apparatus for determining abnormality of fetal heart, and operating method thereof
CN111368586A (zh) * 2018-12-25 2020-07-03 深圳迈瑞生物医疗电子股份有限公司 超声成像方法及系统
US20200261053A1 (en) * 2019-02-15 2020-08-20 Samsung Medison Co., Ltd. Method and apparatus for displaying ultrasound image and computer program product
CN110742654A (zh) * 2019-11-05 2020-02-04 深圳度影医疗科技有限公司 一种基于三维超声图像的标准切面的定位和测量方法

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116327246A (zh) * 2023-03-17 2023-06-27 飞依诺科技股份有限公司 胎心定位方法、装置、设备及存储介质
CN116362548A (zh) * 2023-04-19 2023-06-30 江苏久和机械有限公司 一种标准节可用性管理方法、系统、装置和存储介质
CN116362548B (zh) * 2023-04-19 2023-10-31 江苏久和机械有限公司 一种标准节可用性管理方法、系统、装置和存储介质

Also Published As

Publication number Publication date
CN116322521A (zh) 2023-06-23
CN116322521B (zh) 2025-09-30

Similar Documents

Publication Publication Date Title
CN110177504B (zh) 超声图像中参数测量的方法和超声成像系统
CN110087555B (zh) 一种超声设备及其三维超声图像的显示变换方法、系统
US20250025133A1 (en) Ultrasonic imaging method and device
US11931201B2 (en) Device and method for obtaining anatomical measurements from an ultrasound image
US20110201935A1 (en) 3-d ultrasound imaging
CN113229850B (zh) 超声盆底成像方法和超声成像系统
CN104680481A (zh) 一种超声辅助扫查方法和系统
CN116058864A (zh) 超声数据的分类显示方法和超声成像系统
US11534133B2 (en) Ultrasonic detection method and ultrasonic imaging system for fetal heart
WO2018195946A1 (fr) Procédé et dispositif pour l'affichage d'une image ultrasonore et support de stockage
WO2022099705A1 (fr) Procédé d'échographie de fœtus en début de grossesse et système d'échographie
WO2022099704A1 (fr) Procédé d'échographie et système d'échographie de fœtus en milieu et fin de grossesse
CN112568933B (zh) 超声成像方法、设备和存储介质
WO2022133806A1 (fr) Procédé de retouche d'image de volume de faciès fœtal et système d'échographie
CN116650006A (zh) 用于自动超声检查的系统和方法
WO2020133236A1 (fr) Procédé d'imagerie de colonne vertébrale et système d'imagerie ultrasonore
WO2022134049A1 (fr) Procédé d'imagerie ultrasonore et système d'imagerie ultrasonore destinés au crâne fœtal
CN113974688B (zh) 超声成像方法和超声成像系统
CN115399807A (zh) 胎儿目标部位的超声成像方法和超声成像系统
CN116763347A (zh) 基于超声图像的胎头方向角测量方法以及相关装置
CN115886876B (zh) 胎儿姿态的评估方法、超声成像方法及超声成像系统
CN111513762A (zh) 超声数据处理方法、超声数据处理系统及计算机存储介质
CN117814840A (zh) 早孕胎儿的超声成像方法和超声成像系统
CN115778435A (zh) 胎儿颜面部的超声成像方法和超声成像系统
CN116327237A (zh) 超声成像系统及方法、超声图像处理系统及方法

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 20961258

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 20961258

Country of ref document: EP

Kind code of ref document: A1

WWG Wipo information: grant in national office

Ref document number: 202080105560.7

Country of ref document: CN