WO2023085262A1 - 消化管表層微小血管の血流速度測定内視鏡システム - Google Patents

消化管表層微小血管の血流速度測定内視鏡システム Download PDF

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Publication number
WO2023085262A1
WO2023085262A1 PCT/JP2022/041538 JP2022041538W WO2023085262A1 WO 2023085262 A1 WO2023085262 A1 WO 2023085262A1 JP 2022041538 W JP2022041538 W JP 2022041538W WO 2023085262 A1 WO2023085262 A1 WO 2023085262A1
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Prior art keywords
blood flow
frame
moving image
microvessels
endoscope
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English (en)
French (fr)
Japanese (ja)
Inventor
章仁 永原
浩也 上山
陽一 赤澤
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Juntendo Educational Foundation
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Juntendo Educational Foundation
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Priority to JP2023559636A priority Critical patent/JPWO2023085262A1/ja
Priority to US18/708,089 priority patent/US20250169707A1/en
Publication of WO2023085262A1 publication Critical patent/WO2023085262A1/ja
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • 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
    • A61B1/00002—Operational features of endoscopes
    • A61B1/00004—Operational features of endoscopes characterised by electronic signal processing
    • A61B1/00009—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope
    • A61B1/000094—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope extracting biological structures
    • 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
    • A61B1/045—Control thereof
    • 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
    • A61B1/273—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 for the upper alimentary canal, e.g. oesophagoscopes, gastroscopes
    • A61B1/2736—Gastroscopes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
    • A61B5/026—Measuring blood flow
    • A61B5/0261—Measuring blood flow using optical means, e.g. infrared light
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/246—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • G06T7/248—Analysis of motion using feature-based methods, e.g. the tracking of corners or segments involving reference images or patches
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10068—Endoscopic image
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30028—Colon; Small intestine
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30096—Tumor; Lesion
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30101—Blood vessel; Artery; Vein; Vascular
    • G06T2207/30104—Vascular flow; Blood flow; Perfusion

Definitions

  • the present invention relates to an endoscope system for measuring the blood flow velocity of microvessels on the surface of the gastrointestinal tract.
  • the present inventors measured the blood flow velocity of the gastric surface microvessels using a magnifying endoscope, and found that the blood flow velocity of the gastric surface microvessels is useful for qualitative diagnosis in the magnifying endoscopic diagnosis of early gastric cancer. We have found and reported that (Non-Patent Documents 1 to 4).
  • an object of the present invention is to provide an endoscope system that measures the blood flow velocity of microvessels on the surface of the gastrointestinal tract in real time.
  • the present inventors studied the real-time measurement of the blood flow velocity of the surface microvessels of the gastrointestinal tract.
  • the inventors have found that the blood flow velocity of microvessels on the surface of the gastrointestinal tract can be measured in real time by measuring the change in the red color component, which indicates the movement of red blood cells in the moving image, and completed the present invention.
  • an endoscopic system for measuring the blood flow velocity of microtubules in the surface layer of the gastrointestinal tract comprising a magnifying endoscope and a blood flow moving image data processing section obtained by the magnifying endoscope, (A) the magnifying endoscope captures a blood flow moving image of microvessels on the surface of the gastrointestinal tract and sends it to the blood flow moving image data processing unit; (B) An endoscope for measuring the blood flow velocity of gastrointestinal superficial microvessels, wherein the blood flow moving image data processing unit that receives the blood flow moving image performs the following data processing (B1) to (B5). system.
  • the endoscope system according to [2] further performs a process of comparing the obtained blood flow velocity of the gastrointestinal superficial microvessels with the normal blood flow velocity of the gastrointestinal superficial microvessels.
  • the endoscope system according to any one of [1] to [4], wherein the process of calculating the difference using the red component detects movement of red blood cells.
  • the endoscope system according to any one of [1] to [5], wherein the regions generated by the regionization are regions through which red blood cells have passed between frames 1 and 2.
  • a method for measuring the blood flow velocity of surface microvessels of the gastrointestinal tract comprising: using a magnifying endoscope to capture a video of the blood flow in the surface microvessels of the gastrointestinal tract; decomposing the obtained blood flow movie into frames; comparing the image of frame 1 with the next image of frame 2 to remove translation components; calculating the difference with the red component of the image with the translation component removed; a step of regionalizing the portion for which the difference of the red component is calculated;
  • a method for measuring blood flow velocity in gastrointestinal superficial microvessels comprising the step of calculating a region size of obtained region data.
  • the measurement method according to [9], wherein the moving image of blood flow is a moving image of blood flow of microvessels at a site suspected of having an abnormality in the surface layer of the gastrointestinal tract obtained by a magnifying endoscope.
  • the measuring method according to [10] further comprising the step of comparing the obtained blood flow velocity in the gastrointestinal tract superficial microvessels with normal blood flow velocity in the gastrointestinal superficial microvessels.
  • the measurement method according to any one of [9] to [11], wherein the step of removing the translation component is a step of detecting differences between frames caused by blood flow.
  • the measuring method according to any one of [9] to [12], wherein the step of calculating the difference with the red component detects movement of red blood cells.
  • a magnifying endoscope can be used to measure the blood flow velocity of microvessels on the surface of the gastrointestinal tract in real time.
  • inflammatory bowel disease inflammatory and functional diseases related to the gastrointestinal tract
  • allergic gastrointestinal diseases inflammatory and functional diseases related to the gastrointestinal tract
  • abnormal gastrointestinal blood flow due to lifestyle-related diseases other than gastrointestinal diseases.
  • FIG. 4 is a diagram showing a flow of obtaining blood flow velocities from frame 2 and frame 1 to frame 2 of the endoscope moving image by the endoscope system of the present invention;
  • gray portions indicate processing means, and white portions indicate data.
  • FIG. 3 is a diagram in which translation components are removed from frames 1 and 2; It is a figure which shows the difference of a red component.
  • ROC analysis results for blood flow velocities in early stage gastric cancer and mean blood flow velocities in normal gastric superficial microvessels are shown.
  • One aspect of the present invention is an endoscopic system for measuring the blood flow velocity of gastrointestinal surface microtubules, comprising a magnifying endoscope and a blood flow moving image data processing unit obtained by the magnifying endoscope, (A) the magnifying endoscope captures a blood flow moving image of microvessels on the surface of the gastrointestinal tract and sends it to the blood flow moving image data processing unit; (B) An endoscope for measuring the blood flow velocity of gastrointestinal superficial microvessels, wherein the blood flow moving image data processing unit that receives the blood flow moving image performs the following data processing (B1) to (B5). System.
  • Another aspect of the present invention is a method for measuring the blood flow velocity of microvessels in the surface layer of the gastrointestinal tract in real time from microvessel moving images of the surface layer of the gastrointestinal tract, comprising the following step (a): (f).
  • the magnifying endoscope captures a blood flow moving image of microvessels on the surface of the gastrointestinal tract and sends it to the blood flow moving image data processing unit; All of the steps of capturing a moving image of blood flow in microvessels on the surface of the gastrointestinal tract using a magnifying endoscope are processes performed by the magnifying endoscope.
  • This magnifying endoscope may be any endoscope that can measure blood flow in microvessels. Commercially available magnifying endoscopes have a moving image capturing function.
  • FIG. 1 shows an example of a specific processing flow.
  • Step (a) of the present invention is a step of capturing a moving image of blood flow in microvessels at a site suspected of having an abnormality in the surface layer of the gastrointestinal tract obtained by a magnifying endoscope.
  • This magnifying endoscope may be any endoscope that can measure blood flow in microvessels.
  • Commercially available magnifying endoscopes have a moving image capturing function.
  • Steps (b) to (f) of the present invention can be performed in real time by a computer that receives blood flow moving images obtained by a magnifying endoscope.
  • Known software can be used as the framework used for the image processing of the present invention. For example, OpenCV, dlib, etc. can be used. In addition, development languages such as c/c++, Python, and JavaScript can be used.
  • Step (b) is a step of decomposing the obtained magnified endoscopic blood flow moving image into frames.
  • This step is a step of designating a moving image file captured by a magnifying endoscope to be analyzed, and decomposing the moving image into frames.
  • the moving image is decomposed into an image of frame 1, an image of frame 2, an image of frame 3, and so on, as shown in FIG.
  • Step (c) is a step of comparing the image of frame 1 with the image of next frame 2 to remove the translation component.
  • an image from which the translation component between the image of frame 1 and the image of frame 2 is removed is obtained (see FIG. 1).
  • This step detects the difference between the frame 1 image and the frame 2 image, that is, the difference between the frames caused by the blood flow (see FIG. 2).
  • Step (d) is a step of calculating the difference with the red component of the image from which the translation component has been removed.
  • This step is to calculate the difference between the images of frame 1 and frame 2, ie, the difference between the frames caused by the blood flow, in the red component. Since the movement of the red component is the movement of red blood cells in blood, the movement of red blood cells can be detected by calculating the difference with the red component.
  • Step (e) is a step of regionalizing the portion where the difference of the red component is calculated. This step measures the area traversed by the red blood cells between frame 1 and frame 2.
  • Step (f) is a step of calculating the region size of the obtained region data. This step measures the minor and major diameters of the region size.
  • the blood flow velocity in each region of Frame 2 can be measured. Also, as shown in Table 2, the blood flow velocity in each region in the other frame images of the obtained moving image can also be measured.
  • this blood flow rate with the normal blood flow rate of microvessels in the surface layer of the gastrointestinal tract, it is possible to diagnose whether or not a disease such as early cancer exists in the surface layer of the gastrointestinal tract.
  • the comparison of these blood flow velocities can also be performed by a computer that performs the steps (b) to (f).
  • the gastrointestinal tract includes the esophagus, stomach, duodenum, small intestine, large intestine and rectum.
  • gastrointestinal diseases include neoplastic lesions such as esophageal cancer, gastric cancer, duodenal cancer, colon cancer and rectal cancer; non-neoplastic lesions such as gastric polyps and colon polyps; Inflammatory and functional diseases such as intestinal disease, esophagitis, gastritis, functional dyspepsia, irritable bowel syndrome, chronic constipation, diarrhea, and bowel movements, allergic gastrointestinal diseases, lifestyle-related diseases other than gastrointestinal diseases Abnormal gastrointestinal blood flow due to Here, for example, blood flow velocities in early gastric cancer were statistically significantly slower and narrower than those in normal gastric superficial microvessels, even when intra-individual variability was taken into account. . Furthermore, when ROC analysis was performed for each average, the cutoff value was 1.09 as shown in FIG. 4 (sensitivity 90.3%, specificity 89.7%
  • Example 1 Using Python as a development language and OpenCV as an image processing framework, three arguments in Table 1 were specified, and a magnified endoscopic video of the gastric mucosa was processed according to the flow in FIG.
  • the magnified endoscopic video was captured using a LASEREO 7000 series (FUJIFILM) endoscope system and an EG-L600ZW7 (FUJIFILM) scope.
  • the parallel movement component-removed image shown in FIG. 2 was obtained, and the difference of the red component shown in FIG. 3 was detected.
  • the blood flow velocity could be measured from the blood flow moving image of the microvessels on the surface of the gastrointestinal tract obtained by the magnifying endoscope.
  • Table 2 shows the region size in each frame and the measurement results of the blood flow velocity in that region.

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PCT/JP2022/041538 2021-11-09 2022-11-08 消化管表層微小血管の血流速度測定内視鏡システム Ceased WO2023085262A1 (ja)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0417076A (ja) * 1990-05-10 1992-01-21 Olympus Optical Co Ltd 内視鏡用画像処理装置
JP2014004329A (ja) * 2012-06-01 2014-01-16 Sony Corp 歯用装置、医療用装置及び算出方法
WO2016121811A1 (ja) * 2015-01-29 2016-08-04 富士フイルム株式会社 画像処理装置及び画像処理方法、並びに内視鏡システム
WO2017061256A1 (ja) * 2015-10-07 2017-04-13 富士フイルム株式会社 内視鏡システム及び内視鏡システムの作動方法
JP2019520879A (ja) * 2016-05-23 2019-07-25 ライカ インストゥルメンツ （シンガポール） プライヴェット リミテッドＬｅｉｃａ Ｉｎｓｔｒｕｍｅｎｔｓ （Ｓｉｎｇａｐｏｒｅ） Ｐｔｅ． Ｌｔｄ． 顕微鏡または内視鏡等の医療用観察装置ならびに時間変調および／または空間変調を有する疑似カラーパターンを用いる方法

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WO2012053306A1 (ja) * 2010-10-22 2012-04-26 学校法人 福岡大学 胃上皮性腫瘍（腺腫・胃癌）の診断に有用な白色不透明物質を応用した内視鏡観察法および診断能改善組成物
JP6850225B2 (ja) * 2017-09-01 2021-03-31 富士フイルム株式会社 医療画像処理装置、内視鏡装置、診断支援装置、及び、医療業務支援装置
CN120392163A (zh) * 2020-02-14 2025-08-01 富士胶片株式会社 超声波诊断装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH0417076A (ja) * 1990-05-10 1992-01-21 Olympus Optical Co Ltd 内視鏡用画像処理装置
JP2014004329A (ja) * 2012-06-01 2014-01-16 Sony Corp 歯用装置、医療用装置及び算出方法
WO2016121811A1 (ja) * 2015-01-29 2016-08-04 富士フイルム株式会社 画像処理装置及び画像処理方法、並びに内視鏡システム
WO2017061256A1 (ja) * 2015-10-07 2017-04-13 富士フイルム株式会社 内視鏡システム及び内視鏡システムの作動方法
JP2019520879A (ja) * 2016-05-23 2019-07-25 ライカ インストゥルメンツ （シンガポール） プライヴェット リミテッドＬｅｉｃａ Ｉｎｓｔｒｕｍｅｎｔｓ （Ｓｉｎｇａｐｏｒｅ） Ｐｔｅ． Ｌｔｄ． 顕微鏡または内視鏡等の医療用観察装置ならびに時間変調および／または空間変調を有する疑似カラーパターンを用いる方法

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