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WO2021051222A1 - Système d'endoscope, source de lumière mixte, dispositif d'acquisition de vidéo et processeur d'image - Google Patents

Système d'endoscope, source de lumière mixte, dispositif d'acquisition de vidéo et processeur d'image Download PDF

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Publication number
WO2021051222A1
WO2021051222A1 PCT/CN2019/105889 CN2019105889W WO2021051222A1 WO 2021051222 A1 WO2021051222 A1 WO 2021051222A1 CN 2019105889 W CN2019105889 W CN 2019105889W WO 2021051222 A1 WO2021051222 A1 WO 2021051222A1
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WO
WIPO (PCT)
Prior art keywords
image
data
target detection
detection area
light source
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Ceased
Application number
PCT/CN2019/105889
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English (en)
Chinese (zh)
Inventor
迟崇巍
田捷
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Beijing Digital Precision Medicine Co
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Beijing Digital Precision Medicine Co
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Publication date
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Priority to PCT/CN2019/105889 priority Critical patent/WO2021051222A1/fr
Publication of WO2021051222A1 publication Critical patent/WO2021051222A1/fr
Anticipated expiration legal-status Critical
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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor
    • A61B1/04—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances
    • A61B1/046—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor combined with photographic or television appliances for infrared imaging
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B1/00—Instruments for performing medical examinations of the interior of cavities or tubes of the body by visual or photographical inspection, e.g. endoscopes; Illuminating arrangements therefor

Definitions

  • This application relates to the field of medical equipment, and in particular to an endoscope system, a hybrid light source, a video acquisition device and an image processor.
  • Molecular imaging is a science that uses imaging methods to display specific molecules at the tissue level, cell and subcellular level, reflect changes at the molecular level in the living body, and conduct qualitative and quantitative research on their biological behavior in imaging.
  • An endoscope based on molecular imaging technology is a commonly used medical device. It is a testing instrument that integrates traditional optics, ergonomics, precision machinery, modern electronics, mathematics, and software. Doctors can observe the lesions (such as ulcers or tumors and other diseased tissues/organs) in the patient with the help of an endoscope, and formulate a better treatment plan accordingly.
  • an embodiment of the present application provides an endoscope system, including:
  • Hybrid light source which is used to simultaneously emit visible light and near-infrared light to the target detection area containing the contrast agent;
  • a video image acquisition device for acquiring image mixing data of the target detection area;
  • the image mixing data includes visible light image data and near-infrared light image data of the target detection area;
  • An image processor configured to generate a contrast image of the target detection area according to the image mixing data
  • a video output unit for converting the contrast image into a video format and outputting
  • the display unit is used to display the contrast image in the video format in real time.
  • the hybrid light source includes: a white laser light source and a near-infrared laser light source that are close to each other and independently arranged.
  • the video image acquisition device includes:
  • An endoscope which is used to collect the image mixed light signal of the target detection area
  • a focusing lens which is used to adjust the focus of the image mixed optical signal
  • the filter is used to filter out the mixed optical signal of the image after focusing, the wavelength of which is outside the visible light and the near-infrared light;
  • the photoelectric conversion module is used to convert the filtered image mixed light signal into a corresponding electrical signal, which is used as the image mixed data.
  • the photoelectric conversion module includes any one of the following:
  • Complementary metal oxide semiconductor image sensor is provided.
  • the hybrid light source, the video output unit, and the image processor are integrated into an integrated structure.
  • the embodiments of the present application also provide a hybrid light source, the hybrid light source is applied to an endoscope system, and the hybrid light source is used to simultaneously emit visible light and near-infrared light to a target detection area containing a contrast agent.
  • the hybrid light source includes: a white laser light source and a near-infrared laser light source that are close to each other and independently arranged.
  • an embodiment of the present application also provides a video capture device, the video capture device is applied to an endoscope system, the video image capture device is used to capture image mixed data of a target detection area; the image The mixed data includes visible light image data and near-infrared light image data of the target detection area.
  • the video image acquisition device includes:
  • An endoscope which is used to collect the image mixed light signal of the target detection area
  • a focusing lens which is used to adjust the focus of the image mixed optical signal
  • the filter is used to filter out the mixed optical signal of the image after focusing, the wavelength of which is outside the visible light and the near-infrared light;
  • the photoelectric conversion module is used to convert the filtered image mixed light signal into a corresponding electrical signal, which is used as the image mixed data.
  • the photoelectric conversion module includes any one of the following:
  • Complementary metal oxide semiconductor image sensor is provided.
  • an image processor including:
  • An image acquisition module for acquiring image mixing data of a target detection area; the image mixing data includes visible light image data and near-infrared light image data of the target detection area;
  • Recognition and marking module for recognizing near-infrared light image data and visible light image data from the image mixed data, and marking the near-infrared light image data
  • the image synthesis module is used to synthesize the marked near-infrared light image data and the recognized visible light image data into a contrast image of the target detection area.
  • the image processor includes a field programmable gate array.
  • the endoscopic system of the embodiment of the present application outputs the displayed contrast image, which can more accurately distinguish normal tissues and diseased tissues in the target detection area, thereby improving the endoscope The accuracy of the system to distinguish normal tissues from diseased tissues.
  • Fig. 1 is a structural block diagram of an endoscope system in some embodiments of the application.
  • FIG. 2 is a schematic diagram of the structure of an image processor in some embodiments of the application.
  • FIG. 3 is a schematic diagram of an image processor in some other embodiments of the application.
  • forming the second part above the first part may include an embodiment in which the first part and the second part are formed in a direct contact manner, and may also include the first part and the second part in a non-direct contact manner ( That is, between the first component and the second component, additional components may be included).
  • some embodiments of the present application may use spatially relative terms such as “above”, “below”, “top”, “below”, etc., to describe what is shown in the drawings of the embodiments.
  • the spatially relative terms are also intended to include different orientations of the device in use or operation. For example, if the device in the drawings is turned over, elements or parts described as “below” or “beneath” other elements or parts will then be positioned as “above” or “above” other elements or parts. Above".
  • NIR near-infrared light
  • SBR signal-to-background ratio
  • the endoscope system of some embodiments of the present application may include a hybrid light source, a video image acquisition device, an image processor, and a video Output unit and display unit, etc.
  • the hybrid light source can be used to simultaneously emit visible light and near-infrared light to the target detection area containing the contrast agent.
  • the video image acquisition device can be used to acquire image mixed data of the target detection area.
  • the image mixing data includes visible light image data and near-infrared light image data of the target detection area.
  • the image processor may be used to generate a contrast image of the target detection area according to the image mixing data.
  • the video output unit can be used to convert the contrast image into a video format and output it.
  • the display unit can be used to display contrast images in video format in real time.
  • the present application since the endoscope system can obtain the near-infrared light image of the target detection area, and the near-infrared light image can penetrate deeper tissues of the target detection area, therefore, the present application
  • the endoscopic system of the above-mentioned embodiment outputs and displays the contrast image, which can more accurately distinguish the normal tissue and the diseased tissue in the target detection area.
  • the hybrid light source may be a white light laser light source and a near-infrared laser light source that are arranged close to each other and independently arranged, and the white light laser light source and the near-infrared laser light source can be synchronized to the target detection area. Emit visible light and near-infrared light.
  • the hybrid light source may also be a single laser source, and the single laser source emits laser light whose wavelength range covers at least the visible light waveband and the near-infrared light waveband. Therefore, in some embodiments of the present application, the structure of the hybrid light source is not limited, and it can be specifically selected according to needs.
  • the video image acquisition device may include an endoscope, a focusing lens, a filter, and a photoelectric conversion module.
  • the endoscope can be used to collect the image mixed light signal of the target detection area.
  • Focusing The lens can be used to focus the mixed optical signal of the image to obtain a clear image.
  • the filter can be used to filter out the image mixed light signal after focusing, and its wavelength is outside the visible light and near-infrared light, that is, the image mixed light signal filtered by the filter can only retain the visible light part and the near-infrared light. Light part.
  • the photoelectric conversion module can be used to convert the filtered image mixed optical signal into a corresponding electrical signal, which is used as image mixed data for subsequent processing.
  • the photoelectric conversion module may be single to reduce power consumption and volume.
  • the photoelectric conversion module may include, but is not limited to, a Charge Coupled Device (CCD) or a Complementary Metal Oxide Semiconductor (Complementary Metal Oxide Semiconductor, CMOS) image sensor, for example.
  • CCD Charge Coupled Device
  • CMOS Complementary Metal Oxide Semiconductor
  • the image processor may adopt any suitable hardware or a combination of software and hardware according to needs.
  • the image processor may be implemented by a hardware structure such as a Field Programmable Gate Array (FPGA) or a Complex Programmable Logic Device (CPLD).
  • FPGA is a hardware-based processing system. Its advantage lies in the parallel processing of data. Multiple data can be processed simultaneously in one clock cycle, which can shorten the processing time and reduce the image delay.
  • the image processor may include an image acquisition module 21, an identification and marking module 22, and an image synthesis module 23. among them:
  • the image acquisition module 21 may be used to acquire image mixing data of the target detection area.
  • the image mixing data includes visible light image data and near-infrared light image data of the target detection area.
  • the recognition and marking module 22 may be used to recognize near-infrared light image data and visible light image data from the image mixed data, and mark the near-infrared light image data.
  • the target detection area under the irradiation of near-visible light, the target detection area will present a visible light image; because the target detection area contains a contrast agent, at the same time, under the irradiation of near-infrared light, the target detection area The part containing the contrast agent will also show another near-infrared light image.
  • the color value of the visible light image corresponding to the visible light image data and the color value of the near-infrared light image corresponding to the near-infrared light image data are significantly different. Therefore, based on this color value
  • the recognition and marking module 22 recognizes the near-infrared light image data and the visible light image data from the image mixed data. On this basis, in order to enhance or highlight the display effect and facilitate operation, the recognized near-infrared light image data can be marked (for example, fluorescent marking, etc.).
  • the image synthesis module 23 can be used to synthesize the marked near-infrared light image data and the recognized visible light image data into a contrast image of the target detection area.
  • the image processor may further include an image defogging module and an image noise reduction module. among them:
  • the image defogging module can be used to perform dark channel defogging processing on the mixed image data to reduce or eliminate fogging of the picture. Due to the process of surgery and other applications, the image may be fogged and blurred due to steam or other factors.
  • the image defogging module based on the dark channel defogging algorithm can reduce or even eliminate the fogging and blur of the image to a certain extent.
  • the image noise reduction module can be used to perform multi-frame noise reduction processing on the image processed by the image defogging module to improve the signal-to-noise ratio of the image.
  • the image noise may increase due to factors such as light conditions and exposure time, making the image unclear.
  • the image defogging module that contains multi-frame noise reduction algorithms, it is possible to find different pixels with noise properties under different frame numbers for the collected multi-frame images for the same target area, and through repeated weighting and replacement, After the final synthesis, a relatively clean and pure image is obtained.
  • the image synthesis module 23 may include:
  • the RGB conversion sub-module can be used to perform RGB conversion on the marked near-infrared light image data in the target area to convert it into an image with a designated fluorescent effect.
  • the image overlay sub-module can be used to cover the image with the designated fluorescent effect to the image of the visible light portion in the target area, so as to avoid the interference of visible light.
  • the above-mentioned designated fluorescent effect image may be, for example, a green fluorescent effect image. Because the green fluorescence effect is more intuitive and obvious, it is convenient for the doctor to distinguish normal tissues and diseased tissues more clearly during operation (or in other application scenarios).
  • the above-mentioned designated fluorescent effect image can be displayed in multiple levels, that is, the brightness of the displayed fluorescent light can be changed according to the strength of the original data, which is beneficial for the doctor to treat the lesion of the diseased tissue. Distinguish and judge the degree.
  • the image processor may also include a processor and a computer program stored in a memory, and the computer program executes the following steps when the computer program is run by the processor:
  • the image mixing data includes visible light image data and near-infrared light image data of the target detection area;
  • the marked near-infrared light image data and the recognized visible light image data are synthesized into a contrast image of the target detection area.
  • the example video output module may be a video capture card, such as an HDMI capture card, a VGA video capture card, a PCI video card, a PCI-E video capture card, and so on.
  • the display device may be a display, such as a cathode ray tube (i.e. display), a plasma display, a liquid crystal display (i.e. LCD display), a light-emitting diode display (i.e. LED display), an organic light-emitting diode display ( Namely OLED display) and so on.
  • a cathode ray tube i.e. display
  • a plasma display i.e. plasma display
  • a liquid crystal display i.e. LCD display
  • a light-emitting diode display i.e. LED display
  • OLED display organic light-emitting diode display
  • the hybrid light source, the video output unit and the image processor are integrated into an integrated structure.
  • These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing equipment to work in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including the instruction device.
  • the device implements the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operation steps are executed on the computer or other programmable equipment to produce computer-implemented processing, so as to execute on the computer or other programmable equipment.
  • the instructions provide steps for implementing the functions specified in one process or multiple processes in the flowchart and/or one block or multiple blocks in the block diagram.
  • the computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
  • processors CPUs
  • input/output interfaces network interfaces
  • memory volatile and non-volatile memory
  • the memory may include non-permanent memory in a computer readable medium, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM).
  • RAM random access memory
  • ROM read-only memory
  • flash RAM flash memory
  • Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology.
  • the information can be computer-readable instructions, data structures, program modules, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disc (DVD) or other optical storage, Magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.
  • this application can be provided as a method, a system, or a computer program product. Therefore, this application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
  • a computer-usable storage media including but not limited to disk storage, CD-ROM, optical storage, etc.
  • This application may be described in the general context of computer-executable instructions executed by a computer, such as a program module.
  • program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types.
  • This application can also be practiced in distributed computing environments. In these distributed computing environments, tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules can be located in local and remote computer storage media including storage devices.

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Surgery (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biomedical Technology (AREA)
  • Optics & Photonics (AREA)
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  • Radiology & Medical Imaging (AREA)
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  • Endoscopes (AREA)

Abstract

L'invention concerne un système d'endoscope, une source de lumière mixte, un dispositif d'acquisition vidéo et un processeur d'image. Le système d'endoscope comprend une source de lumière mixte, qui est utilisée pour émettre de manière synchrone une lumière visible et une lumière proche infrarouge vers une zone de détection cible contenant un milieu de contraste ; un dispositif d'acquisition d'image vidéo, qui est utilisé pour acquérir des données de mixage d'image de la zone de détection cible, les données de mixage d'image comprenant des données d'image de lumière visible et des données d'image de lumière proche infrarouge de la zone de détection cible ; un processeur d'image, qui est utilisé pour générer des images obtenues par ajout de produit de contraste de la zone de détection cible selon les données de mixage d'image ; une unité de sortie vidéo, qui est utilisée pour convertir les images obtenues par ajout de produit de contraste en un format vidéo et pour sortir ces dernières ; une unité d'affichage, qui est utilisée pour afficher en temps réel les images obtenues par ajout de produit de contraste en format vidéo. La présente invention peut augmenter la précision du système d'endoscope lorsqu'il distingue un tissu normal d'un tissu pathologique.
PCT/CN2019/105889 2019-09-16 2019-09-16 Système d'endoscope, source de lumière mixte, dispositif d'acquisition de vidéo et processeur d'image Ceased WO2021051222A1 (fr)

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CN115002356A (zh) * 2022-07-19 2022-09-02 深圳市安科讯实业有限公司 基于数字视频摄影用夜视方法

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CN107105977A (zh) * 2015-01-21 2017-08-29 奥林巴斯株式会社 内窥镜装置
WO2017117710A1 (fr) * 2016-01-05 2017-07-13 秀传医疗社团法人秀传纪念医院 Système et procédé d'imagerie pour endoscopie
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115002356A (zh) * 2022-07-19 2022-09-02 深圳市安科讯实业有限公司 基于数字视频摄影用夜视方法

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