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WO2015165252A1 - 待成像对象模子的制作方法和个体化的成像方法 - Google Patents

待成像对象模子的制作方法和个体化的成像方法 Download PDF

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Publication number
WO2015165252A1
WO2015165252A1 PCT/CN2014/091421 CN2014091421W WO2015165252A1 WO 2015165252 A1 WO2015165252 A1 WO 2015165252A1 CN 2014091421 W CN2014091421 W CN 2014091421W WO 2015165252 A1 WO2015165252 A1 WO 2015165252A1
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WIPO (PCT)
Prior art keywords
imaging
image data
data information
imaged
mold
Prior art date
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Ceased
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PCT/CN2014/091421
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English (en)
French (fr)
Inventor
谢子茁
谢庆国
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Raycan Technology Co Ltd
X-Z Lab Inc
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Raycan Technology Co Ltd
X-Z Lab Inc
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Application filed by Raycan Technology Co Ltd, X-Z Lab Inc filed Critical Raycan Technology Co Ltd
Priority to US15/307,573 priority Critical patent/US9931097B2/en
Priority to FIEP14890738.9T priority patent/FI3138495T3/fi
Priority to JP2016565189A priority patent/JP6355760B2/ja
Priority to EP14890738.9A priority patent/EP3138495B1/en
Publication of WO2015165252A1 publication Critical patent/WO2015165252A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/58—Testing, adjusting or calibrating thereof
    • A61B6/582—Calibration
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/032—Transmission computed tomography [CT]
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
    • A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
    • A61B6/03—Computed tomography [CT]
    • A61B6/037—Emission tomography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/58—Testing, adjusting or calibrating thereof
    • A61B6/582—Calibration
    • A61B6/583—Calibration using calibration phantoms
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves

Definitions

  • the present invention relates to the field of medical imaging technology, and in particular, to a method for fabricating an object to be imaged and an individualized imaging method.
  • CT imaging in PET-CT in general, CT in PET-CT is low-performance and radiation is large. In the diagnosis of some diseases, such as physical examination, the results of CT are not needed, which invisibly increases the amount of radiation the patient is exposed to and is harmful to health.
  • an object of the present invention is to provide a method for fabricating a mold to be imaged and an individualized imaging method for improving image quality.
  • the core of the image forming method is to establish a mold by using human prior knowledge.
  • the image data information of the mold is used to optimize the image data of the imaging system and the object to be imaged, and the mold can be further optimized, thereby reciprocating, and higher quality imaging results and data analysis results can be obtained.
  • the present invention provides the following technical solutions:
  • a method for fabricating an object to be imaged wherein the model is classified by an object to be imaged, and then averaged and processed for each type of database formed by imaging the imaging object by various imaging systems, and then using the obtained information to Make a mold.
  • An individualized imaging method comprising the steps of:
  • S2 calibrating, correcting and optimizing the imaging system by using the image data information Img0, scanning and imaging the imaging object with the calibration, correction and optimized imaging system to obtain image data information Img1;
  • An individualized imaging method comprising the steps of:
  • An individualized imaging method comprising the steps of:
  • S2 calibrating, correcting and optimizing a B imaging system by using the image data information Img0, scanning and imaging the imaged object with the calibrated, corrected and optimized B imaging system to obtain image data information Img1;
  • An individualized imaging method comprising the steps of:
  • the mold to be imaged is performed by an A imaging system in an A-B combined imaging system Imaging, obtaining image data information Img0;
  • An individualized imaging method comprising the steps of:
  • S5 Obtaining AB by processing the image data information Img1, Img3 or by processing the image data information Img0, Img3 or by processing the image data information Img0, Img1, Img3 or by processing the image data information Img2, Img3 Fusion imaging results and data analysis results Img10.
  • the individualized imaging method of the embodiment of the present invention makes full use of the human prior knowledge.
  • the image data information of the model can be utilized for the imaging system and/or
  • the image data information of the imaged object is optimized, and the mold can be further optimized, thereby reciprocating, and higher quality imaging results and data analysis results can be obtained.
  • the beneficial effects of the present invention include:
  • the mold can be used to obtain higher quality imaging results and data analysis results, and then the mold is optimized according to the higher quality imaging result and the data analysis result, and the image data information obtained by the reciprocating mold imaging is The more accurate.
  • the imaging of the object to be tested can be reduced by mold imaging, which can reduce the amount of radiation that the object to be tested is subjected to.
  • FIG. 1 is a schematic view of an imaging system in the prior art
  • Figure 2 is a schematic illustration of a cylinder as a prosthesis and imaging using the imaging system of Figure 1;
  • FIG. 3 is a schematic diagram of calibration, correction, and optimization of the imaging system using image data information of a cylinder obtained by the imaging system of FIG. 2;
  • FIG. 4 is a schematic diagram of imaging a human body using the calibrated, corrected, and optimized imaging system of FIG. 3;
  • Figure 5 is a conceptual diagram of the entirety of the individualized imaging method of the present invention.
  • FIG. 6 is a schematic flow chart of manufacturing a mold by using a 3D module making device in an individualized imaging method of the present invention
  • FIG. 7 is a schematic diagram of imaging a mold made in FIG. 6 using an imaging system in an individualized imaging method of the present invention
  • FIG. 8 is a schematic diagram of calibrating, correcting, and optimizing the imaging system using the image data information of the mold obtained in FIG. 7 in the individualized imaging method of the present invention
  • FIG. 9 is a schematic diagram of imaging an human body using the calibrated, corrected, and optimized imaging system of FIG. 8 in the individualized imaging method of the present invention.
  • FIG. 10 is a process for optimizing the image data of the mold obtained in FIG. 7 and the image data information of the human body obtained in FIG. 9 in the individualized imaging method of the present invention, and obtaining new imaging results and data analysis results;
  • FIG. 11 is a conceptual diagram showing that a large number of human images are obtained by imaging in an individualized imaging method of the present invention, and images of the large number of people can be classified.
  • FIG. 12 is a schematic flow chart of fabricating a mold using a 3D module manufacturing apparatus in an individualized imaging method of the present invention
  • Figure 13 is a schematic view showing the imaging of the mold made in Figure 12 using an imaging system A in the individualized imaging method of the present invention
  • FIG. 14 is a schematic diagram of calibrating, correcting, and optimizing an imaging system B by using image data information of the mold obtained in FIG. 13 in the individualized imaging method of the present invention
  • FIG. 15 is a schematic diagram of imaging a human body using a combined imaging system AB in an individualized imaging method of the present invention, the imaging system B in the combined imaging system being the calibration, calibration, and optimized imaging system of FIG. 14;
  • 16 is a schematic diagram of imaging an human body using an imaging system A in an individualized imaging method of the present invention.
  • FIG. 17 is a schematic diagram of imaging an human body using an imaging system B in an individualized imaging method of the present invention, the imaging system B being the calibration, calibration, and optimized imaging system of FIG. 14;
  • FIG. 19 is a conceptual diagram showing that a large number of human images are obtained by combined imaging in an individualized imaging method of the present invention, and images of the large number of people can be classified;
  • 20 is a schematic flow chart of manufacturing a mold by using a 3D module manufacturing device in an individualized imaging method of the present invention
  • FIG. 21 is a schematic diagram of imaging a mold made in FIG. 20 using a CT imaging system in an individualized imaging method of the present invention
  • FIG. 22 is a schematic diagram of calibration, correction, and optimization of a PET imaging system using image data information of a mold obtained in FIG. 21 in an individualized imaging method of the present invention
  • the PET imaging system is the calibration, calibration, and optimized PET imaging system in FIG. 22;
  • FIG. 24 is a process for optimizing image processing of the mold obtained in FIG. 21 and image data information of the human body obtained in FIG. 23 in the individualized imaging method of the present invention, and obtaining imaging results and data analysis results of the new combined imaging;
  • Fig. 25 is a conceptual diagram showing that a large number of human images are obtained by combined imaging in the individualized imaging method of the present invention, and images of the large number of people can be classified.
  • the present invention discloses an individualized imaging method for scanning a mold of an object to be imaged by a 3D mold making device, and an information Img0 obtained by imaging the mold to an imaging system.
  • the data analysis result Img10, several higher quality imaging results and data analysis results Img10 will be stored in the database, of course, the database may also include imaging results of multiple imaging systems experienced by multiple imaging subjects, through the database The new mold is then produced and can be cycled for the next imaging of the object to be imaged or other applications where a mold is required.
  • the plurality of imaging results of the plurality of imaging objects are processed to obtain a mold by: classifying the objects to be imaged, and then averaging and processing the imaged objects of the imaging objects formed by imaging of the plurality of imaging systems, and then obtaining the images.
  • the information to do the mold are processed to obtain a mold by: classifying the objects to be imaged, and then averaging and processing the imaged objects of the imaging objects formed by imaging of the plurality of imaging systems, and then obtaining the images.
  • the individualized imaging method of the present invention makes full use of human prior knowledge.
  • the image data information of the model can be used to optimize the image data of the imaging system and the object to be imaged, and can be further optimized.
  • the mold in this cycle, can obtain higher quality imaging results and data analysis results.
  • the model object to be imaged according to the present invention can be produced by density information or function information obtained by imaging an image to be imaged by an imaging system.
  • the mold may be density information or function information obtained by an imaging system such as CT, MRI, PET, DR, CR, or the like.
  • the density information here, generally referred to as structural information, is the use of substances of the same density as human tissue to simulate different organs or tissues.
  • functional information the corresponding space is generally reserved in the mold, and drugs participating in related functional activities are added for simulation.
  • the model of the object to be imaged according to the present invention may not be established based on information of a single individual, and may be classified by the object to be imaged, and then the imaged object of the type is imaged by a plurality of imaging systems to be averaged, etc. Process, and then use the information obtained to make a mold.
  • This method is to say that many people in real life will have to do some imaging.
  • people in each category may involve imaging of multiple imaging systems, by performing imaging databases in such categories. Average processing, so that you can get an average value, and then use this average to build the mold.
  • the classification criteria are not specifically limited, and may be based on an organ classification or may be based on imaging similarity.
  • the molds produced by the above two methods are equally sized or scaled according to the object to be imaged.
  • the mold can also be made into non-equal or non-equal.
  • the mold can be made by hand or by 3D printing or injection molding or die casting, and the like, and the 3D module making device and method can be made in equal or equal proportions.
  • the individualized imaging method of the present invention has various embodiments, and the technical solutions in the embodiments of the present invention will be described in detail below.
  • Embodiment 1 is a diagrammatic representation of Embodiment 1:
  • an individualized imaging method disclosed by the present invention includes the steps of:
  • S2 calibrating, correcting and optimizing the imaging system by using the image data information Img0, scanning and imaging the imaging object with the calibration, correction and optimized imaging system to obtain image data information Img1;
  • the present embodiment first creates a mold by a 3D module manufacturing apparatus and method, such as manual creation or 3D printing or injection molding or die casting, before the step S1.
  • the image data information Img0 in the step S1 is obtained by obtaining data of a mold, and then extracting parameters from the data, or directly imaging by an imaging system.
  • FIG. 11 shows a database comprising a plurality of imaging results and data analysis results Img10 of a plurality of objects to be imaged, and a plurality of Img10 databases are established, and a method for manufacturing the molds is for each
  • a single imaging object is processed by its own imaging results and data analysis results Img10 to make its own mold.
  • Another method is to classify several imaging results and data analysis results Img10 of several people into ImgX1, ImgX2......... many categories, classify the objects to be imaged, and then make various kinds of imaging objects for each class.
  • the database formed by the imaging system is averaged and processed, and then the obtained information is used as a mold.
  • the present embodiment embodies the calibration, correction and optimization of the imaging system by the image data information Img0 of the mold, so that the imaging system is in a state optimal for imaging of the object to be imaged, and then the imaged object is imaged.
  • the image to be imaged can obtain relatively high quality image data information Img1 after being imaged by the imaging system that has been calibrated, corrected and optimized, in order to further optimize the image data information, the image can be further
  • the data information Img0 and the image data information Img1 are optimized to obtain higher quality imaging results and data analysis results.
  • the individualized imaging method of the present embodiment may further include the step S4 of applying the higher quality imaging result and the data analysis result to optimize the mold.
  • the mold can be gradually optimized.
  • the mold can be used instead of the object to be imaged for imaging, which can save costs.
  • the information of the future mold is sufficiently accurate, even if the object to be imaged needs to be imaged, only a low radiation dose or low cost imaging system needs to be imaged, or only need to be treated.
  • the imaging object can be imaged in a short time, which can save time and cost.
  • Embodiment 2 is a diagrammatic representation of Embodiment 1:
  • the invention discloses an individualized imaging method, which comprises the steps of:
  • the image data information Img0 in the step S1 is obtained by obtaining data of the mold, and then extracting parameters from the data, or directly imaging by the imaging system.
  • the difference between this embodiment and the first embodiment is that the imaging system is not calibrated, corrected and optimized using the image data information Img0.
  • This embodiment is directed to the case where some imaging systems cannot be optimized or need to be optimized, and the image data information Img1 is directly optimized by the image data information Img0 to obtain a relatively high quality imaging result and data analysis result Img10, and then use the Imaging results and data analysis results Img10 optimizes the mold, so reciprocating, while obtaining higher quality imaging results and data analysis results, the mold can be gradually optimized.
  • the imaging system is not calibrated. Correction and optimization also yield higher quality imaging results and data analysis results.
  • the time saving and cost saving effect described in the first embodiment can also be achieved when the information of the future model is sufficiently accurate.
  • Embodiment 3 is a diagrammatic representation of Embodiment 3
  • an individualized imaging method disclosed by the present invention includes the steps of:
  • S2 calibrating, correcting and optimizing a B imaging system by using the image data information Img0, scanning and imaging the imaged object with the calibrated, corrected and optimized B imaging system to obtain image data information Img1;
  • this embodiment is manually created or 3D printed or injection molded before step S1.
  • This embodiment is mainly for obtaining combined imaging data.
  • the image data information Img0 is obtained by CT imaging of the object to be imaged
  • the PET is calibrated, corrected and optimized by the image data information Img0, and then treated with PET.
  • the imaging subject is scanned and imaged to obtain image data information Img1, and then the image data information Img0 and the image data information Img1 are processed to obtain a PET-CT fusion imaging result and a data analysis result Img10.
  • the image data information Img0 is obtained by CT imaging of the object to be imaged
  • the SPECT is calibrated, corrected and optimized by the image data information Img0
  • the image data information Img1 is obtained by scanning the imaged object with SPECT
  • the image data information Img0 and the image data information Img1 are processed to obtain a SPECT-CT fusion imaging result and a data analysis result Img10.
  • the fusion imaging result and the data analysis result Img10 are not imaged by the A imaging system, and the object to be imaged can be prevented from being subjected to unnecessary physical injury or excessively expensive time, such as the specific embodiment CT described above.
  • the radiation dose of the imaging is relatively harmful to the human body. Only the imaging information of the mode is processed to obtain the fusion imaging result and the data analysis result Img10, so that the human body can be prevented from undergoing CT radiation.
  • the individualized imaging method further includes step S4: applying the fused A-B imaging result and the data analysis result Img10 to optimize the mold.
  • step S4 applying the fused A-B imaging result and the data analysis result Img10 to optimize the mold.
  • the mold can be gradually optimized while obtaining higher quality imaging results and data analysis results.
  • the time saving and cost saving effect described in the first embodiment can also be achieved when the information of the future model is sufficiently accurate.
  • FIG. 19 shows a database comprising a plurality of imaging results and data analysis results Img10 of a plurality of objects to be imaged, and a plurality of Img10 databases are established, and a method for manufacturing the molds is for each
  • a single imaging object is processed by its own imaging results and data analysis results Img10 to make its own mold.
  • Another method is to classify several imaging results and data analysis results Img10 of several people into ImgX1, ImgX2......... many categories, classify the objects to be imaged, and then make various kinds of imaging objects for each class.
  • the database formed by the imaging system is averaged and processed, and then the obtained information is used as a mold.
  • Embodiment 4 is a diagrammatic representation of Embodiment 4:
  • an individualized imaging method disclosed by the present invention includes the steps of:
  • the imaging system in this embodiment is a combined imaging system, and the image to be imaged needs to simultaneously perform A and B imaging in combined imaging.
  • the individualized imaging method further includes a step S4 of applying the fused A-B imaging result and the data analysis result Img10 to optimize the mold.
  • the imaging of the mold is more and more close to the imaging of the object to be imaged, and the image data information obtained by imaging the image after the more optimized mold imaging is optimized to obtain the image data obtained after imaging the imaging object, thereby obtaining more High quality image data information. Therefore, when the prior knowledge of the mold is sufficiently accurate, in some cases, some imaging systems that are less harmful to the human body can be selected to image the imaged object. For example, for PET-CT or SPECT-CT combined imaging, CT imaging can select a lower dose of CT radiation dose.
  • the time saving and cost saving effect described in the first embodiment can also be achieved when the information of the future model is sufficiently accurate.
  • Embodiment 5 is a diagrammatic representation of Embodiment 5:
  • an individualized imaging method disclosed by the present invention includes the steps of:
  • S5 Obtaining AB by processing the image data information Img1, Img3 or by processing the image data information Img0, Img3 or by processing the image data information Img0, Img1, Img3 or by processing the image data information Img2, Img3 Fusion imaging results and data analysis results Img10.
  • the difference between this embodiment and the fourth embodiment is that the calibration, correction and optimization of the B imaging system in this embodiment does not only require the image data information Img0 obtained by the model to be imaged by the A imaging system in the AB combined imaging system, but also The image data information Img1 obtained by imaging the object to be imaged by the A imaging system in the AB combined imaging system is combined with the image data information Img0 and the image data information Img1 to calibrate, correct and optimize the B imaging system in the AB combined imaging system.
  • the difference between this embodiment and the fourth embodiment is that after the B imaging system is calibrated, corrected and optimized, the AB imaging of the object to be imaged may be selected, or the imaging system may not be imaged by the A imaging system, and only the imaging is to be performed.
  • the subject performs imaging of the B imaging system. This is mainly for the case where some A imaging systems are harmful to the human body. It is also PET-CT imaging.
  • the radiation dose of CT in the A imaging system is harmful to the human body. Therefore, if the data quality meets the requirements, you can choose not to repeat the CT imaging. To avoid re-harming the human body.
  • the object to be imaged is subjected to two imaging at the same time, but because of the imaging of the mold, the optimization of the subsequent imaging data can be performed, and at the same time, for the imaging of the imaging system A that is performed again, the imaging can be selected.
  • Imaging system A that treats the imaged subject with less damage or lower cost is imaged.
  • the CT in the PET/CT combined imaging can be a low-cost CT. The purpose of cost saving.
  • the CT in the composite image can also be a low radiation dose CT, and the radiation dose to be imaged can be greatly reduced.
  • the individualized imaging method further includes step S6: applying the fused A-B imaging result and the data analysis result Img10 to optimize the mold.
  • the imaging of the mold is more and more close to the imaging of the object to be imaged, and the image data information obtained by imaging the image after the more optimized mold imaging is optimized to obtain the image data obtained after imaging the imaging object, thereby obtaining more High quality image data information. Therefore, when the prior knowledge of the mold is sufficiently accurate, in some cases, some imaging systems that are less harmful to the human body can be selected to image the imaged object. For example, for PET-CT or SPECT-CT combined imaging, CT imaging can select a lower dose of CT radiation dose.
  • the time saving and cost saving effect described in the first embodiment can also be achieved when the information of the future model is sufficiently accurate.
  • the individualized imaging methods of the present invention are further described below by an embodiment of a particular imaging system.
  • an individualized imaging method includes the steps of:
  • image data information Img1 is obtained by PET/CT joint imaging of the object to be imaged, or imaged by PET and CT respectively, and then image fusion information image Img1 is obtained, or image data information Img1 is obtained only by PET;
  • S4 can also be: if the object to be imaged is PET/CT combined imaging or PET and CT imaging and then fused, then the combined imaging result or the combined imaging result can be directly used as the imaging result and data. Analysis results Img10. Because the previous image data information Img0 can also be used to optimize the subsequent imaging, only the optimized imaging result and the data analysis result quality will be higher.
  • this embodiment is manually created or 3D printed or injection molded before step S1.
  • FIG. 25 shows a database including a plurality of imaging results and data analysis results Img10 of a plurality of objects to be imaged, and a plurality of Img10 databases are established, and a method for manufacturing the molds is for each A single imaging object is processed by its own imaging results and data analysis results Img10 to make its own mold. Another method is to classify several imaging results and data analysis results Img10 of several people into ImgX1, ImgX2......... many categories, classify the objects to be imaged, and then make various kinds of imaging objects for each class. The database formed by the imaging system is averaged and processed, and then the obtained information is used as a mold.
  • the calibration in the step S2 may adopt a normalization method, and the correction may adopt a scatter correction.
  • the PET is calibrated, corrected, and optimized by the CT image of the mold.
  • PET and a low-cost CT can be used.
  • Low-cost CT work images the images of the object to be imaged at higher radiation doses.
  • the imaging results are used to calibrate, calibrate, and optimize the PET imaging system, while also optimizing the CT system, and then performing PET imaging and working on the imaged object. Combined imaging of CT imaging at low radiation doses.
  • the PET is calibrated, corrected, and optimized by the CT image of the mold.
  • the object to be imaged patient or animal
  • the radiation dose is greatly reduced while maintaining high PET imaging quality.
  • the CT image of the mold may be used to calibrate, correct and optimize the PET, or the CT image combined with the mold and the object to be imaged before the PET imaging.
  • the CT image is calibrated, corrected and optimized for PET.
  • the solution combines the imaging of the CT to be imaged with the CT imaging of the 3D model of the object to be imaged to form an anatomical imaging result of the object to be imaged, and further calibrates, corrects and optimizes the PET system with the result, and then PET
  • the functional imaging obtained by the imaging system and the anatomical imaging obtained by the CT imaging system are image-fused to obtain the fused function and the anatomical image.
  • the subject to be imaged can choose to receive a lower dose of CT radiation dose to obtain a high quality PET/CT image.
  • This case also includes a second embodiment: the object to be imaged can Using PET and a low-cost CT, the low-cost CT works to image the mold to be imaged at higher radiation doses.
  • the imaging results are used to calibrate, calibrate, and optimize the PET imaging system, while also optimizing the CT imaging system.
  • the imaging subject was treated with PET imaging and CT imaging at lower radiation doses, respectively.
  • the first embodiment differs from the second embodiment in that the CT in the first embodiment selects a lower dose, but this CT itself is not necessarily low-cost, and may be high-cost, while in the second embodiment CT is a low cost.
  • the choice of CT imaging in PET/CT combined imaging can include three scenarios.
  • the patient or animal may choose not to receive radiation from CT imaging (which accounts for most of the radiation dose in PET/CT), and the radiation dose is greatly reduced while maintaining a high PET image quality.
  • the imaging of the CT of the object to be imaged is combined with the CT imaging of the 3D model of the object to be imaged to form an anatomical imaging result of the object to be imaged, and the PET imaging system is further calibrated, corrected and optimized with the result.
  • the functional imaging obtained by the PET imaging system and the anatomical imaging obtained by the CT imaging system are image-fused to obtain a fusion function and an anatomical image.
  • the subject to be imaged receives a lower dose of CT radiation to obtain a high quality PET/CT image.
  • PET and a low-cost CT are used.
  • Low-cost CT work images the imaged object at a higher radiation dose.
  • the imaging results are used to calibrate, calibrate, and optimize the PET imaging system.
  • the CT imaging system is also optimized, and then the imaged object is PET imaged and worked.
  • PET imaging systems can be built at a lower cost or allow patients to receive lower PET tracer radiation doses.
  • PET imaging quality can be higher by accepting the same PET tracer radiation dose.
  • the imaging system in all embodiments of the invention may be CT, MRI, SPECT, PET, DR, CR.
  • All embodiments of the present invention for CT, can perform small-dose reconstruction with image reconstruction methods with less data; can integrate other density data for multi-parameter estimation; for MRI, can cooperate with low-quality or low-field magnetic Resonance develops super-resolution imaging.
  • the imaging system is calibrated, corrected and optimized using the image data information Img0 of the mold, because the imaging system of the existing medical institution is a common setting for most people, and the imaging pair through the mold
  • the imaging system is adjusted so that the imaging system is Adjust to a state that is most suitable for the object to be imaged so that an optimal imaging effect can be obtained. That is, for an imaging system of a pass level, although the cost of the imaging system itself cannot be directly saved, the quality of imaging can be improved.
  • some imaging systems with lower performance parameters can be selected for imaging, and these performance parameters are low.
  • the cost of the components used in the imaging system itself is relatively low, so the manufacturing cost of the entire imaging system is relatively low.
  • the individualized imaging method of the embodiment of the present invention makes full use of human prior knowledge, and by establishing a mold for the individual, using the mold for CT imaging or PET imaging or MRI imaging or calibration and correction of multiple combined imaging, the higher is obtained. Quality imaging results and data analysis results.
  • the a priori information of the human body used in the embodiment of the present invention is mainly that the human a priori information obtained by the individual imaging indicated in the above embodiment is used to make a mold for the individual, or the human a priori information of the plurality of imaging objects is used for classification and averaging. The mold is then fabricated, and then the mold is used to optimize the imaging system and image data information.
  • pre-scanning of the chest and abdomen can accumulate the influence of respiratory movement on the shape and position of the thoracic and abdomen organs, so that in the subsequent scan, we may only need a short-term scan, and we can use the information of the previous scan to get the chest accurately.
  • we can use the PET scan results to predetermine the location of the lesion and then use CT to scan, thus reducing the dose of CT and so on.
  • the imaging system is calibrated, corrected, and optimized by utilizing the image data information Img0 of the mold. If the imaging system of the mold is the same imaging system as the calibration, calibration, and optimization imaging system, then the calibration is performed. , correction and optimization means the meaning of optimization. If the imaging system of the mold is different from the calibration, calibration, and optimized imaging system, there is a process of calibration, calibration, and optimization. The methods of calibration, calibration, and optimization vary according to different imaging systems. The following is an example of PET-CT.
  • CT corrects for PET attenuation, allowing PET to be more accurately imaged.
  • the data obtained by PET contains the attenuation effect, because the 511 keV gamma light will attenuate during the process of penetrating the human body. If the corresponding correction is not made, the image will have contrast error, quantitative error and unrecognized lesion. . Since CT imaging is also a distribution of attenuation coefficients of different tissues and organs of the human body, and the CT image has a higher signal-to-noise ratio, the imaging speed is faster. Therefore, PET generally uses CT images to attenuate PET data.
  • the method is: CT collects data, CT image reconstruction, obtains CT image, converts CT number to obtain 511keV attenuation image (CT energy range 40-140keV, PET is 511keV, attenuation value is different, need to be converted, methods include segmentation method, mapping The method and the dual-energy CT method, PET scan obtain PET data, use the attenuation map of CT conversion to perform attenuation correction, and use the corrected PET data for image reconstruction to obtain PET image.
  • CT corrects for PET scatter, allowing PET to be more accurately imaged.
  • PET scan data includes not only true events, but also scattering events and random events. Scattering events can cause false positioning of photons, image contrast and quantitative error estimates, affecting the identification of lesions.
  • the PET data is usually scatter corrected by means of CT images. The flow is as follows:
  • the individualized imaging method of the embodiment of the present invention makes full use of human prior knowledge.
  • the image data information of the model can be used to optimize the image data of the imaging system and the object to be imaged, and
  • the mold can be further optimized to cycle back and forth, resulting in higher quality imaging results and data analysis results.
  • the beneficial effects of the present invention include:
  • the imaging system is corrected and optimized by the imaging result of the mold, so that the imaging system is in a state most suitable for the object to be imaged, and thus higher quality imaging results and data analysis results can be obtained.
  • the mold can be used to obtain higher quality imaging results and data analysis results, and then the mold is optimized according to the higher quality imaging result and the data analysis result, and the image data information obtained by the reciprocating mold imaging is The more accurate.
  • the imaging of the object to be tested can be reduced by mold imaging, which can reduce the amount of radiation that the object to be tested is subjected to.

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Abstract

一种个体化的成像方法，包括步骤：对待成像对象的模子进行扫描，通过该模子成像后得到的信息对成像系统进行校准、校正和优化；用校准、校正和优化后的成像系统对成像对象进行扫描；通过对成像对象及其模子扫描获得的信息进行优化，得到更高质量的成像结果和数据分析结果；应用该高质量的成像结果和数据分析结果对模子进行优化，以供下次成像使用。该个体化的成像方法充分利用了人的先验知识，通过给个体建立一个一个的模子，可以利用模子的图像数据信息对成像系统进行校准、校正和优化，并对待成像对象的图像数据信息进行优化，并可进一步优化模子，以此循环往复，可以得到更高质量的成像结果和数据分析结果。

Description

待成像对象模子的制作方法和个体化的成像方法 技术领域
本发明涉及医学成像技术领域，尤其涉及一种待成像对象模子的制作方法和个体化的成像方法。
背景技术
如图1至图4所示，现有的医学成像技术，待成像对象的先验知识并未得到充分利用，以获得更高的诊断准确度、更少的辐射伤害和更低的成本。比如做PET造影时是以一个圆柱体作为假体成像获得一个图像数据信息Img0，利用该图像数据信息Img0来做系统校准和系统校正的，然后通过该校准和校正过的成像系统对人体进行成像，获得图像数据信息Img1。这种使用一个圆柱体作为假体对成像系统进行校准和校正的过程是粗糙的，成像系统本身并没有得到优化。
另外，对于一些组合成像系统，比如PET-CT组合成像系统，不少病人在做PET-CT之前已经做过CT了，因为需要衰减校正的关系，在做PET-CT时，不得不再做一次PET-CT中的CT成像，一般而言，PET-CT里的CT是低性能的，而且辐射较大。在有些疾病的诊断中，如体检等，并不需要CT的结果，这无形中增加了病人承受的辐射量，有害健康。
因此，针对上述现有技术中存在的问题，有必要提供一种新的个体化的成像方法，该成像方法充分利用人的先验信息，通过给个体建立一个模子，用这样一个模体进行成像系统校准、校正和优化，并利用模子的信息对成像结果进行优化，能得到更高质量的成像结果和数据分析结果。
发明内容
有鉴于此，本发明的目的在于提供一种待成像对象模子的制作方法以及一种提高成像质量的个体化的成像方法，该成像方法的核心是可以利用人的先验知识建立一个模子，可以利用模子的图像数据信息对成像系统以及待成像对象的图像数据信息进行优化，并可以进一步优化模子，以此循环往复，可以得到更高质量的成像结果和数据分析结果。
为实现上述目的，本发明提供如下几种技术方案：
一种待成像对象模子的制作方法，所述模子是通过对待成像对象进行成像后获得的密度信息或者功能信息制作而成。
一种待成像对象模子的制作方法，所述模子是通过对待成像对象进行分类，然后针对每类把成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。
一种个体化的成像方法，其包括步骤：
S1：获取待成像对象的模子的图像数据信息Img0；
S2：通过该图像数据信息Img0对成像系统进行校准、校正和优化，用校准、校正和优化后的成像系统对成像对象进行扫描成像，得到图像数据信息Img1；
S3：通过对图像数据信息Img0和图像数据信息Img1进行优化处理，得到更高质量的成像结果和数据分析结果Img10。
一种个体化的成像方法，其包括步骤：
S1：获取待成像对象的模子的图像数据信息Img0；
S2：对待成像对象进行成像，得到图像数据信息Img1，通过对图像数据信息Img0和图像数据信息Img1进行优化处理，获得更高质量的成像结果和数据分析结果Img10；
S3：通过S2中得到的该更高质量的成像结果和数据分析结果Img10对模子进行优化。
一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一A成像系统进行成像，得到图像数据信息Img0；
S2：通过该图像数据信息Img0对一B成像系统进行校准、校正和优化，用校准、校正和优化后的B成像系统对待成像对象进行扫描成像，得到图像数据信息Img1；
S3：通过对图像数据信息Img0和图像数据信息Img1进行处理，得到A-B融合成像结果和数据分析结果Img10。
一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一A-B组合成像系统中的A成像系统进行 成像，得到图像数据信息Img0；
S2：通过该图像数据信息Img0对该A-B组合成像系统中的B成像系统进行校准、校正和优化，用具有校准、校正和优化后的B成像系统的A-B组合成像系统对成像对象进行联合成像，得到图像数据信息Img1；
S3：通过对图像数据信息Img0和图像数据信息Img1进行处理，得到A-B融合成像结果和数据分析结果Img10。
一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img0；
S2：对待成像对象通过该A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img1；
S3：对图像数据信息Img0和图像数据信息Img1进行处理获得一个综合的图像数据信息Img2，并以该图像数据信息Img2对A-B组合成像系统中的B成像系统进行校准、校正和优化；
S4：用校准、校正和优化后的B成像系统对成像对象进行成像得到图像数据信息Img3，或者用具有该校准、校正和优化后的B成像系统的A-B组合成像系统对成像对象进行联合成像得到图像数据信息Img3；
S5：通过对图像数据信息Img1、Img3进行处理或通过对图像数据信息Img0、Img3进行处理或者通过对图像数据信息Img0、Img1、Img3进行处理或者通过对图像数据信息Img2、Img3进行处理，得到A-B融合成像结果和数据分析结果Img10。
从上述技术方案可以看出，本发明实施例的个体化的成像方法充分利用了人的先验知识，通过给个体建立一个一个的模子，可以利用模子的图像数据信息对成像系统和/或待成像对象的图像数据信息进行优化，并可以进一步优化模子，以此循环往复，可以得到更高质量的成像结果和数据分析结果。
相较于现有技术，本发明的有益效果包括：
(1)通过模子的成像结果来进一步优化待成像对象的图像数据信息，进而可以得到更高质量的成像结果和数据分析结果；
(2)通过模子的成像结果对成像系统进行校正和优化，使得成像系统处 于最适合待成像对象的状态，进而可以得到更高质量的成像结果和数据分析结果。
(3)因为使用模子可以得到更高质量的成像结果和数据分析结果，然后根据该更高质量的成像结果和数据分析结果再对模子进行优化，以此往复模子成像后获得的图像数据信息就越准确。
(4)对于一些辐射比较大的成像系统，通过模子成像代替实际待测对象成像，可以减少待测对象承受的辐射量。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其他的附图。
图1为现有技术中一种成像系统的示意图；
图2为以一个圆柱体作为假体并使用图1中的成像系统进行成像的示意图；
图3为使用图2中成像系统获得的圆柱体的图像数据信息对该成像系统进行校准、校正、优化的示意图；
图4为使用图3中校准、校正、优化后的成像系统对人体进行成像的示意图；
图5为本发明个体化的成像方法的整体的概念图；
图6为本发明个体化的成像方法中采用3D模块制作装置制作模子的流程示意图；
图7为本发明个体化的成像方法中采用一个成像系统对图6中制作的模子进行成像的示意图；
图8为本发明个体化的成像方法中利用图7中获得的模子的图像数据信息对该成像系统进行校准、校正、优化的示意图；
图9为本发明个体化的成像方法中使用图8中校准、校正、优化后的成像系统对人体进行成像的示意图；
图10为本发明个体化的成像方法中对图7获得的模子的图像数据信息和图9获得的人体的图像数据信息进行处理优化，获得新的成像结果和数据分析结果；
图11为本发明个体化的成像方法中通过成像获得大量的人的影像，且该大量的人的影像可被分类的概念示意图。
图12为本发明个体化的成像方法中采用3D模块制作装置制作模子的流程示意图；
图13为本发明个体化的成像方法中采用一个成像系统A对图12中制作的模子进行成像的示意图；
图14为本发明个体化的成像方法中利用图13中获得的模子的图像数据信息对一成像系统B进行校准、校正、优化的示意图；
图15为本发明个体化的成像方法中使用组合的成像系统AB对人体进行成像的示意图，此组合成像系统中的成像系统B为图14中的校准、校正、优化后的成像系统；
图16为本发明个体化的成像方法中采用成像系统A对人体进行成像的示意图；
图17为本发明个体化的成像方法中采用成像系统B对人体进行成像的示意图，此成像系统B为图14中的校准、校正、优化后的成像系统；
图18为本发明个体化的成像方法中对图13获得的模子的图像数据信息和图15获得的人体的图像数据信息进行处理优化，获得新的组合成像的成像结果和数据分析结果；
图19为本发明个体化的成像方法中通过组合成像获得大量的人的影像，且该大量的人的影像可被分类的概念示意图；
图20为本发明个体化的成像方法中采用3D模块制作装置制作模子的流程示意图；
图21为本发明个体化的成像方法中采用一个CT成像系统对图20中制作的模子进行成像的示意图；
图22为本发明个体化的成像方法中利用图21中获得的模子的图像数据信息对PET成像系统进行校准、校正、优化的示意图；
图23为本发明个体化的成像方法中采用单一PET或者PET/CT组合成像的方式对人体进行成像的示意图，此PET成像系统为图22中的校准、校正、优化后的PET成像系统；
图24为本发明个体化的成像方法中对图21获得的模子的图像数据信息和图23获得的人体的图像数据信息进行处理优化，获得新的组合成像的成像结果和数据分析结果；
图25为本发明个体化的成像方法中通过组合成像获得大量的人的影像，且该大量的人的影像可被分类的概念示意图。
具体实施方式
为了使本技术领域的人员更好地理解本发明实施例的方案，下面结合附图和实施方式对本发明实施例作进一步的详细说明。
如图5所示，本发明公开了一种个体化的成像方法，该成像方法对通过3D模子制作装置制成的待成像对象的模子进行扫描，通过该模子成像后得到的信息Img0对成像系统进行校准、校正和优化；用校准、校正和优化后的成像系统对成像对象进行扫描获得成像信息Img1；通过对成像对象和模子扫描获得的信息Img0、Img1进行优化，得到更高质量的成像结果和数据分析结果Img10，获得的若干更高质量的成像结果和数据分析结果Img10会收纳入数据库中，当然数据库中还可以包括多个成像对象经历过的多种成像系统的成像结果，通过该数据库再进行新的模子的制作，可以循环用于待成像对象的下一次成像或其他需要使用模子的场合。该多个成像对象的多个成像结果处理获得模子的方法是：通过对待成像对象进行分类，然后把该类的成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。
本发明个体化的成像方法充分利用了人的先验知识，通过给个体建立一个一个的模子，可以利用模子的图像数据信息对成像系统以及待成像对象的图像数据信息进行优化，并可以进一步优化模子，以此循环往复，可以得到更高质量的成像结果和数据分析结果。
通过这样的一个模子的概念，后续可以实现各种各样新的成像方式。
本发明的待成像对象模子可以通过一成像系统对待成像对象进行成像后获得的密度信息或者功能信息制作而成。比如，模子可以是CT、MRI、PET、DR、CR等成像系统获得的密度信息或者功能信息。这里的密度信息，一般可以称为结构信息，就是利用和人体组织相同密度的物质，来模拟不同的器官或者组织。而功能信息，一般在模子内预留相应的空间，加入参与相关功能活动的药物来进行模拟。
本发明的待成像对象模子可以不是根据某个单独的个体的信息建立的，可以是通过对待成像对象进行分类，然后把该类的成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。本方法是讲现实生活中很多人都会要进行一些成像，通过将这么些人的成像进行分类，每一类别中的人可能会涉及多种成像系统的成像，通过对这类里的成像数据库进行平均等处理，这样能够获得一个平均的值，然后利用这个平均值来建立模子。分类的标准并没有特定的限定，可以是以某个器官为分类基准，也可以是以成像相似度为分类基准。
上述两种方法制作的模子是根据待成像对象进行等大小或者等比例制作。当然，在一些特殊场合或特殊要求下，也可以把模子制作成非等大小或非等比例。
模子可以由手工打造或3D打印或注塑成型或压铸成型等等3D模块制作装置与方法进行等大小或者等比例制作完成。
本发明的个体化的成像方法具有多种实施例，下面将对本发明实施例中的技术方案进行详细地描述。
实施例一：
如图7至图10所示，本发明公开的一种个体化的成像方法，其包括步骤：
S1：获取待成像对象的模子的图像数据信息Img0；
S2：通过该图像数据信息Img0对成像系统进行校准、校正和优化，用校准、校正和优化后的成像系统对成像对象进行扫描成像，得到图像数据信息Img1；
S3：通过对图像数据信息Img0和图像数据信息Img1进行优化处理，得到更高质量的成像结果和数据分析结果Img10。
如图6所示，本实施例在步骤S1前先通过手工打造或3D打印或注塑成型或压铸成型等等3D模块制作装置与方法制作一个模子。
所述步骤S1中的图像数据信息Img0是通过获得模子的数据，然后再从数据中提取参数获得，或者直接通过成像系统成像获得。
如图11所示，图11表示的是资料库，资料库中包括若干个待成像对象的若干成像结果和数据分析结果Img10，将若干个Img10建立数据库，模子的一种制作方法是针对每个单个成像对象，利用他们自身以往的成像结果和数据分析结果Img10来进行处理进行自身模子的制作。另一种方法是把这若干人的若干成像结果和数据分析结果Img10进行分类，分为ImgX1、ImgX2………很多类别，通过对待成像对象进行分类，然后针对每类把成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。
本实施例体现了通过模子的图像数据信息Img0来对成像系统进行校准、校正和优化，使得成像系统处于最适合待成像对象成像的状态，然后对待成像对象进行成像。所述步骤S3结束时，虽然待成像对象利用已经被校准、校正和优化后的成像系统进行成像后能够得到相对高质量的图像数据信息Img1，但是为了能够进一步优化图像数据信息，还可以对图像数据信息Img0和图像数据信息Img1进行优化处理，以此获得更高质量的成像结果和数据分析结果。
本实施例的个体化的成像方法还可以包括步骤S4：应用该更高质量的成像结果和数据分析结果对模子进行优化。通过S1-S4的循环，在获得更高质量的成像结果和数据分析结果的同时，能够逐渐的优化模子，未来模子的信息足够精确时，完全可以用模子替代待成像对象进行成像，可以节约成本。另外，从另一个角度考虑，若未来模子的信息足够精确时，即使待成像对象需要进行成像，那么只需要进行低辐射剂量或低成本的成像系统对待成像对象进行成像即可，或者只需要对待成像对象进行短时间的成像即可，可以达到节约时间与成本的效果。
实施例二：
本发明公开一种个体化的成像方法，其包括步骤：
S1：获取待成像对象的模子的图像数据信息Img0；
S2：对待成像对象进行成像，得到图像数据信息Img1，通过对图像数据信息Img0和图像数据信息Img1进行优化处理，获得更高质量的成像结果和数据分析结果Img10；
S3：通过S2中得到的该更高质量的成像结果和数据分析结果Img10对模子进行优化。
本实施例中，所述步骤S1中的图像数据信息Img0是通过获得模子的数据，然后再从数据中提取参数获得，或者直接通过成像系统成像获得。
本实施例与实施例一的区别在于，没有利用图像数据信息Img0对此成像系统进行校准、校正及优化。此实施例是针对一些不能进行或者不需要进行成像系统优化的场合，直接是通过图像数据信息Img0对图像数据信息Img1进行优化处理获得一个相对高质量的成像结果和数据分析结果Img10，然后利用该成像结果和数据分析结果Img10对模子进行优化，如此往复，在获得更高质量的成像结果和数据分析结果的同时，能够逐渐的优化模子，在模子的信息足够精确时，不对成像系统进行校准、校正及优化，同样能够获得更高质量的成像结果和数据分析结果。本实施例在未来模子的信息足够精确时同样可以达到实施一中所述的节约时间与成本的效果。
实施例三：
如图13、14、17、18所示，本发明公开的一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一A成像系统进行成像，得到图像数据信息Img0；
S2：通过该图像数据信息Img0对一B成像系统进行校准、校正和优化，用校准、校正和优化后的B成像系统对待成像对象进行扫描成像，得到图像数据信息Img1；
S3：通过对图像数据信息Img0和图像数据信息Img1进行处理，得到A-B融合成像结果和数据分析结果Img10。
如图12所示，本实施例在步骤S1前先通过手工打造或3D打印或注塑成 型或压铸成型等等3D模块制作装置与方法制作一个模子。
本实施例主要是针对获得组合成像数据而言，具体实施例比如，通过对待成像对象进行CT成像获得图像数据信息Img0，用图像数据信息Img0对PET进行校准、校正和优化，然后再利用PET对待成像对象进行扫描成像得到图像数据信息Img1，然后对图像数据信息Img0和图像数据信息Img1进行处理，得到PET-CT融合成像结果和数据分析结果Img10。
具体实施例再比如，通过对待成像对象进行CT成像获得图像数据信息Img0，用图像数据信息Img0对SPECT进行校准、校正和优化，然后再利用SPECT对待成像对象进行扫描成像得到图像数据信息Img1，然后对图像数据信息Img0和图像数据信息Img1进行处理，得到SPECT-CT融合成像结果和数据分析结果Img10。
本实施例中，获得融合成像结果和数据分析结果Img10没有对待成像对象通过A成像系统进行成像，可以避免待成像对象承受不必要的身体伤害或耗费过多的时间，比如上述的具体实施例CT成像的辐射剂量对人体的伤害是比较大的，只通过模的成像信息来处理获得融合成像结果和数据分析结果Img10，可以避免人体经受CT的辐射。
本实施例中，所述个体化的成像方法还包括步骤S4：应用该融合的A-B成像结果和数据分析结果Img10对模子进行优化。通过S1-S4的循环，在获得更高质量的成像结果和数据分析结果的同时，能够逐渐的优化模子。本实施例在未来模子的信息足够精确时同样可以达到实施一中所述的节约时间与成本的效果。
如图19所示，图19表示的是资料库，资料库中包括若干个待成像对象的若干成像结果和数据分析结果Img10，将若干个Img10建立数据库，模子的一种制作方法是针对每个单个成像对象，利用他们自身以往的成像结果和数据分析结果Img10来进行处理进行自身模子的制作。另一种方法是把这若干人的若干成像结果和数据分析结果Img10进行分类，分为ImgX1、ImgX2………很多类别，通过对待成像对象进行分类，然后针对每类把成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。
实施例四：
如图13、14、15、18所示，本发明公开的一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img0；
S2：通过该图像数据信息Img0对该A-B组合成像系统中的B成像系统进行校准、校正和优化，用具有校准、校正和优化后的B成像系统的A-B组合成像系统对成像对象进行联合成像，得到图像数据信息Img1；
S3：通过对图像数据信息Img0和图像数据信息Img1进行处理，得到A-B融合成像结果和数据分析结果Img10。
本实施例与实施例三的区别是，本实施例中的成像系统本身就是个组合成像系统，待成像对象需要同时进行组合成像中的A、B成像。
所述个体化的成像方法还包括步骤S4：应用该融合的A-B成像结果和数据分析结果Img10对模子进行优化。应用本实施例的方法，模子的成像会越来越接近待成像对象的成像，且通过更加优化的模子成像后得到的图像数据信息对待成像对象成像后获得的图像数据信息进行优化，能够获得更加高质量的图像数据信息。所以，当模子的先验知识足够精确时，在一些场合，可以选择一些对人体伤害度较低的成像系统对待成像对象进行成像。比如对于PET-CT或SPECT-CT组合成像时，CT成像可以选择较低剂量的CT辐射剂量。
本实施例在未来模子的信息足够精确时同样可以达到实施一中所述的节约时间与成本的效果。
实施例五：
如图16所示，本发明公开的一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img0；
S2：对待成像对象通过该A-B组合成像系统中的A成像系统进行成像， 得到图像数据信息Img1；
S3：对图像数据信息Img0和图像数据信息Img1进行处理获得一个综合的图像数据信息Img2，并以该图像数据信息Img2对A-B组合成像系统中的B成像系统进行校准、校正和优化；
S4：用校准、校正和优化后的B成像系统对成像对象进行成像得到图像数据信息Img3，或者用具有该校准、校正和优化后的B成像系统的A-B组合成像系统对成像对象进行联合成像得到图像数据信息Img3；
S5：通过对图像数据信息Img1、Img3进行处理或通过对图像数据信息Img0、Img3进行处理或者通过对图像数据信息Img0、Img1、Img3进行处理或者通过对图像数据信息Img2、Img3进行处理，得到A-B融合成像结果和数据分析结果Img10。
本实施例与实施例四的区别在于，本实施例中对B成像系统进行校准、校正和优化不单单需要模子通过A-B组合成像系统中的A成像系统进行成像得到的图像数据信息Img0，还需要待成像对象通过A-B组合成像系统中的A成像系统进行成像得到的图像数据信息Img1，结合图像数据信息Img0和图像数据信息Img1对A-B组合成像系统中的B成像系统进行校准、校正和优化。
本实施例与实施例四的区别还在于，在对B成像系统进行校准、校正和优化后，可以选择对待成像对象进行A-B联合成像，也可以不对待成像对象进行A成像系统成像，仅仅对待成像对象进行B成像系统成像。此种主要是针对一些A成像系统对人体有伤害的场合，同样是PET-CT成像，A成像系统CT的辐射剂量对人体有害，所以若数据质量满足要求时，可以选择不再重复进行CT成像，避免对人体的再次伤害。
本实施例中待成像对象同时经受了两次成像，但是因为有模子的成像在先，不但可以起到对后续成像数据的优化的作用，同时，对于再次进行的成像系统A的成像，可以选择对待成像对象伤害较小或者成本较低的成像系统A进行成像。比如，做PET/CT组合成像时，若通过模子进行CT成像，然后待成像对象进行PET/CT成像时，这个PET/CT组合成像里面的CT可以是一个低成本的CT，如此设置，可以达到节约成本的目的。这个PET/CT组 合成像里面的CT也可以是低辐射剂量的CT，待成像对象承受的辐射剂量可以大大降低。
本实施例中，所述个体化的成像方法还包括步骤S6：应用该融合的A-B成像结果和数据分析结果Img10对模子进行优化。应用本实施例的方法，模子的成像会越来越接近待成像对象的成像，且通过更加优化的模子成像后得到的图像数据信息对待成像对象成像后获得的图像数据信息进行优化，能够获得更加高质量的图像数据信息。所以，当模子的先验知识足够精确时，在一些场合，可以选择一些对人体伤害度较低的成像系统对待成像对象进行成像。比如对于PET-CT或SPECT-CT组合成像时，CT成像可以选择较低剂量的CT辐射剂量。
本实施例在未来模子的信息足够精确时同样可以达到实施一中所述的节约时间与成本的效果。
下面通过一个具体的成像系统的实施例对本发明的个体化的成像方法进行进一步的描述。
实施例六：
如图21至图24所示，一种个体化的成像方法，其包括步骤：
S1：对待成像对象的模子通过一CT进行成像，得到图像数据信息Img0；
S2：根据图像数据信息Img0对一PET进行校准、校正和优化；
S3：对待成像对象通过PET/CT联合成像得到图像数据信息Img1，或者分别进行PET和CT的成像，而后再进行图像融合得到图像数据信息Img1，或者仅仅通过PET进行成像得到图像数据信息Img1；
S4：通过对图像数据信息Img0及图像数据信息Img1进行处理优化，获得PET/CT融合成像结果和数据分析结果Img10。
当然，S4也可以为：若待成像对象是进行的PET/CT联合成像或分别进行PET和CT的成像然后再融合，那么可以直接用该联合成像结果或者融合后的成像结果作为成像结果和数据分析结果Img10。因为也可以不用先前的图像数据信息Img0对后续的成像做优化的，只是说优化后的成像结果和数据分析结果质量会更高。
如图20所示，本实施例在步骤S1前先通过手工打造或3D打印或注塑成 型或压铸成型等等3D模块制作装置与方法制作一个模子。
如图25所示，图25表示的是资料库，资料库中包括若干个待成像对象的若干成像结果和数据分析结果Img10，将若干个Img10建立数据库，模子的一种制作方法是针对每个单个成像对象，利用他们自身以往的成像结果和数据分析结果Img10来进行处理进行自身模子的制作。另一种方法是把这若干人的若干成像结果和数据分析结果Img10进行分类，分为ImgX1、ImgX2………很多类别，通过对待成像对象进行分类，然后针对每类把成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。
所述步骤S2中校准可以采用归一化的方法，校正可以采用散射校正。
所述步骤S2中，当对于对待成像对象通过PET/CT联合成像得到图像数据信息Img1的方案，是通过模子的CT图像对PET进行校准、校正和优化。此种情况下，可以采用PET和一个低成本的CT。低成本的CT工作在较高的辐射剂量下对待成像对象的模子进行成像，成像结果用以校准、校正、优化PET成像系统，同时也优化CT系统，然后对待成像对象进行PET成像和工作在较低辐射剂量下的CT成像的联合成像。
所述步骤S2中，当对于仅仅通过PET进行成像得到图像数据信息Img1的方案，是通过模子的CT图像对PET进行校准、校正和优化。此种情况下，待成像对象(病人或动物)可选择不接受CT成像带来的辐射(这在PET/CT中占大部分辐射剂量)，辐射剂量大大降低，同时保持较高的PET成像质量。
所述步骤S2中，当对于分别进行PET和CT的成像的方案，在做PET成像前，可以用模子的CT图像对PET进行校准、校正和优化，或者是结合模子的CT图像和待成像对象的CT图像对PET进行校准、校正和优化。本方案采用对待成像对象的CT的成像与待成像对象的3D模子的CT成像相结合，形成待成像对象的解剖成像结果，并以此结果对PET系统进行进一步的校准、校正和优化，将PET成像系统获得的功能成像和CT成像系统获得的解剖成像进行图像融合，获得融合的功能和解剖图像。这种情况下还包括第一实施方案：待成像对象可以选择接受一个较低剂量的CT辐射剂量，得到高质量的PET/CT图像。这种情况下还包括第二实施方案：待成像对象可以 采用PET和一个低成本的CT，低成本的CT工作在较高的辐射剂量下对待成像对象的模子进行成像，成像结果用以校准、校正、优化PET成像系统，同时也优化CT成像系统，然后分别对待成像对象进行PET成像和工作在较低辐射剂量下的CT成像。第一实施方案与第二实施方案的区别在于：第一实施方案中的CT选择较低剂量，但是这个CT本身不一定是低成本的，有可能是高成本的，而第二实施方案中的CT为一低成本的。
总体来说，对于PET/CT组合成像中的CT成像的选择可以包括三种情况。第一种情况，病人或动物可选择不接受CT成像带来的辐射(这在PET/CT中占大部分辐射剂量)，辐射剂量大大降低，同时保持较高的PET成像质量。第二种情况，对待成像对象的CT的成像与待成像对象的3D模子的CT成像相结合，形成待成像对象的解剖成像结果，并以此结果对PET成像系统进行进一步的校准、校正和优化，将PET成像系统获得的功能成像和CT成像系统获得的解剖成像进行图像融合，获得融合的功能和解剖图像。这种情况下，待成像对象接受一个较低剂量的CT辐射剂量，得到高质量的PET/CT图像。第三种情况，采用PET和一个低成本的CT。低成本的CT工作在较高的辐射剂量下对待成像对象的模子进行成像，成像结果用以校准、校正、优化PET成像系统，同时也优化CT成像系统，然后对待成像对象进行PET成像和工作在较低辐射剂量下的CT成像。在上述三种情况下，为获取同样的PET成像质量，PET成像系统均可用更低的成本建造，或者让病人接受更低的PET示踪剂辐射剂量。反过来说，采用同样成本的PET成像系统，接受同样的PET示踪剂辐射剂量，PET成像质量可更高。
本发明所有实施例中的成像系统可以是CT、MRI、SPECT、PET、DR、CR。
本发明所有实施例，对CT而言，能配合少数据的图像重建方法进行少剂量的重建；能融合别的密度数据进行多参数估计；对MRI而言，能配合低质量或低场的磁共振发展出超分辨率的成像。
本发明所有实施例中利用模子的图像数据信息Img0对成像系统进行校准、校正和优化，是由于现有的医疗机构的成像系统都是一个针对大多数人群的一个普通设置，通过模子的成像对成像系统进行调整，使得成像系统被 调节到一个最适合待成像对象的状态，这样，可以得到最优的成像效果。即，针对通性能级别的成像系统而言，虽然不能直接节约成像系统本身的成本，但是可以提高成像的质量。当然，对一些非通性能级别的成像系统而言，在保证成像质量的同时，从节约成像系统成本的角度考虑，可以选择某些性能参数较低的成像系统进行成像，该些性能参数低的成像系统本身使用的零部件成本较低，所以使得整个成像系统的制造成本相对比较低。
本发明实施例的个体化的成像方法充分利用了人的先验知识，通过给个体建立一个模子，用模子进行CT成像或PET成像或MRI成像或多种组合成像的校准、校正，得到更高质量的成像结果和数据分析结果。
对于后续成像的发展而言，通过本发明的启示，后续只要给每个成像对象制作一个个量身定做的模子，就可以避免不必要的成像。同时还可以用模子信息对成像系统进行校准、校正和优化。
本发明实施例中使用的人体的先验信息主要是上述实施例中指出的利用个体成像获得的人体先验信息针对个体制作模子，或者是利用多个成像对象的人体先验信息进行分类求平均后制作模子，然后利用模子优化成像系统以及成像数据信息。
当然还可以利用人体先验信息对人体后续扫描起到作用。比如：预先对胸腹扫描，可以累积得到呼吸运动对于胸腹器官形状和位置的影响，这样我们在后续扫描的时候，我们有可能只需要短期扫描，就可以利用前期扫描的信息，准确得到胸腹各器官的形状和位置。又或者我们可以利用PET的扫描结果，预先确定病兆的位置，然后在利用CT来进行扫描，这样就可以减少CT的剂量等等。
本发明的多个实施例中，均通过利用模子的图像数据信息Img0对成像系统进行校准、校正和优化，若模子的成像系统与校准、校正和优化的成像系统为相同的成像系统，那么校准、校正和优化即表示优化的意思。若模子的成像系统与校准、校正和优化的成像系统为不相同的成像系统，那么存在校准、校正和优化的过程。校准、校正和优化的方法根据不同的成像系统有所不同，下面以PET-CT为例进行说明。
CT对PET衰减校正，使PET得到更为准确的成像。
PET得到的数据是含衰减效应的，因为511keV的伽马光穿透人体的过程中会发生衰减效应，如果不进行相应的校正，会导致图像出现对比度的错误、定量的误差和病灶的无法识别。由于CT成像是同样是得到人体不同组织和器官的衰减系数的分布，且CT图像的信噪比更高，成像速度快。因此PET普遍采用CT影像对PET数据进行衰减校正。
方法是：CT采集数据，CT图像重建，得到CT图像，将CT数转换得到511keV的衰减图像(CT能量范围40-140keV，PET为511keV，衰减值不一样，需要转换，方法包括分割法、影射法和双能CT法等，PET扫描得到PET数据，利用CT转换的衰减图进行衰减校正，利用被校正的PET数据进行图像重建，得到PET图像。
CT对PET散射校正，使PET得到更为准确的成像。
PET扫描的数据不仅仅包含真事件，还有散射事件和随机事件。散射事件会造成对光子的错误定位，图像对比度和定量的错误估计，影响病灶的识别。通常是借助CT图像对PET数据进行散射校正，流程如下：
1、对未散射校正的PET衰减(A数据)进行图像重建，得到一个初步的图像；
2、利用PET活度图像、CT衰减图像，模拟PET扫描过程，得到一个估计的散射和真事件的分布；
3、利用2中得到的散射和真事件的分布，对1中未校正的PET数据进行散射校正，得到校正后的PET数据(B数据)；
4、对3输出的数据(B数据)进行PET图像重建，得到优化的PET图像
本发明实施例的个体化的成像方法充分利用了人的先验知识，通过给个体建立一个一个的模子，可以利用模子的图像数据信息对成像系统及待成像对象的图像数据信息进行优化，并可以进一步优化模子，以此循环往复，可以得到更高质量的成像结果和数据分析结果。
相较于现有技术，本发明的有益效果包括：
(1)通过模子的成像结果来进一步优化待成像对象的图像数据信息，进而可以得到更高质量的成像结果和数据分析结果；
(2)通过模子的成像结果对成像系统进行校正和优化，使得成像系统处于最适合待成像对象的状态，进而可以得到更高质量的成像结果和数据分析结果。
(3)因为使用模子可以得到更高质量的成像结果和数据分析结果，然后根据该更高质量的成像结果和数据分析结果再对模子进行优化，以此往复模子成像后获得的图像数据信息就越准确。
(4)对于一些辐射比较大的成像系统，通过模子成像代替实际待测对象成像，可以减少待测对象承受的辐射量。
通过以上的实施方式的描述可知，本领域的技术人员可以清楚地了解到上述实施例方法中的全部或部分步骤可借助软件加必需的通用硬件平台的方式来实现。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在存储介质中，如ROM/RAM、磁碟、光盘等，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者诸如媒体网关等网络通信设备，等等)执行本发明各个实施例或者实施例的某些部分所述的方法。
需要说明的是，本说明书中的各个实施例均采用递进的方式描述，各个实施例之间相同相似的部分互相参见即可，每个实施例重点说明的都是与其他实施例的不同之处。尤其，对于设备及系统实施例而言，由于其基本相似于方法实施例，所以描述得比较简单，相关之处参见方法实施例的部分说明即可。以上所描述的设备及系统实施例仅仅是示意性的，其中作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。本领域普通技术人员在不付出创造性劳动的情况下，即可以理解并实施。
以上所述仅为本发明的较佳实施例而已，并非用于限定本发明的保护范围。凡在本发明的精神和原则之内所作的任何修改、等同替换、改进等，均包含在本发明的保护范围内。

Claims (15)

  1. 一种待成像对象模子的制作方法，其特征在于：所述模子是通过对待成像对象进行成像后获得的密度信息或者功能信息制作而成。
  2. 根据权利要求1所述的待成像对象模子的制作方法，其特征在于：所述模子根据待成像对象进行等大小或者等比例制作。
  3. 一种待成像对象模子的制作方法，其特征在于：所述模子是通过对待成像对象进行分类，然后针对每类把成像对象做过多种成像系统的成像形成的数据库进行平均等处理，然后利用得到的信息来做模子。
  4. 根据权利要求3所述的待成像对象模子的制作方法，其特征在于：所述模子根据待成像对象进行等大小或者等比例制作。
  5. 一种个体化的成像方法，其特征在于：包括步骤：
    S1：获取待成像对象的模子的图像数据信息Img0；
    S2：通过该图像数据信息Img0对成像系统进行校准、校正和优化，用校准、校正和优化后的成像系统对成像对象进行扫描成像，得到图像数据信息Img1；
    S3：通过对图像数据信息Img0和图像数据信息Img1进行优化处理，得到更高质量的成像结果和数据分析结果Img10。
  6. 根据权利要求5所述的个体化的成像方法，其特征在于：所述个体化的成像方法还包括步骤S4：应用该更高质量的成像结果和数据分析结果Img10对模子进行优化。
  7. 根据权利要求5所述的个体化的成像方法，其特征在于：所述步骤S1中的图像数据信息Img0是通过获得模子的数据，然后再从数据中提取参数获得，或者直接通过成像系统成像获得。
  8. 一种个体化的成像方法，其特征在于：包括步骤：
    S1：获取待成像对象的模子的图像数据信息Img0；
    S2：对待成像对象进行成像，得到图像数据信息Img1，通过对图像数据信息Img0和图像数据信息Img1进行优化处理，获得更高质量的成像结果和数据分析结果Img10；
    S3：通过S2中得到的该更高质量的成像结果和数据分析结果Img10对模 子进行优化。
  9. 根据权利要求8所述的个体化的成像方法，其特征在于：所述步骤S1中的图像数据信息Img0是通过获得模子的数据，然后再从数据中提取参数获得，或者直接通过成像系统成像获得。
  10. 一种个体化的成像方法，其特征在于：包括步骤：
    S1：对待成像对象的模子通过一A成像系统进行成像，得到图像数据信息Img0；
    S2：通过该图像数据信息Img0对一B成像系统进行校准、校正和优化，用校准、校正和优化后的B成像系统对待成像对象进行扫描成像，得到图像数据信息Img1；
    S3：通过对图像数据信息Img0和图像数据信息Img1进行处理，得到A-B融合成像结果和数据分析结果Img10。
  11. 根据权利要求10所述的个体化的成像方法，其特征在于：所述个体化的成像方法还包括步骤S4：应用该融合的A-B成像结果和数据分析结果Img10对模子进行优化。
  12. 一种个体化的成像方法，其特征在于：包括步骤:
    S1：对待成像对象的模子通过一A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img0；
    S2：通过该图像数据信息Img0对该A-B组合成像系统中的B成像系统进行校准、校正和优化，用具有校准、校正和优化后的B成像系统的A-B组合成像系统对成像对象进行联合成像，得到图像数据信息Img1；
    S3：通过对图像数据信息Img0和图像数据信息Img1进行处理，得到A-B融合成像结果和数据分析结果Img10。
  13. 根据权利要求12所述的个体化的成像方法，其特征在于：所述个体化的成像方法还包括步骤S4：应用该融合的A-B成像结果和数据分析结果Img10对模子进行优化。
  14. 一种个体化的成像方法，其特征在于：包括步骤:
    S1：对待成像对象的模子通过一A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img0；
    S2：对待成像对象通过该A-B组合成像系统中的A成像系统进行成像，得到图像数据信息Img1；
    S3：对图像数据信息Img0和图像数据信息Img1进行处理获得一个综合的图像数据信息Img2，并以该图像数据信息Img2对A-B组合成像系统中的B成像系统进行校准、校正和优化；
    S4：用校准、校正和优化后的B成像系统对成像对象进行成像得到图像数据信息Img3，或者用具有该校准、校正和优化后的B成像系统的A-B组合成像系统对成像对象进行联合成像得到图像数据信息Img3；
    S5：通过对图像数据信息Img1、Img3进行处理或通过对图像数据信息Img0、Img3进行处理或者通过对图像数据信息Img0、Img1、Img3进行处理或者通过对图像数据信息Img2、Img3进行处理，得到A-B融合成像结果和数据分析结果Img10。
  15. 根据权利要求14所述的个体化的成像方法，其特征在于：所述个体化的成像方法还包括步骤S6：应用该融合的A-B成像结果和数据分析结果Img10对模子进行优化。
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