WO2020254845A1 - System for analysis and compression of video results of an endoscopic examination - Google Patents
System for analysis and compression of video results of an endoscopic examination Download PDFInfo
- Publication number
- WO2020254845A1 WO2020254845A1 PCT/IB2019/000244 IB2019000244W WO2020254845A1 WO 2020254845 A1 WO2020254845 A1 WO 2020254845A1 IB 2019000244 W IB2019000244 W IB 2019000244W WO 2020254845 A1 WO2020254845 A1 WO 2020254845A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- images
- endoscope
- computer program
- endoscopic examination
- lesions
- Prior art date
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Classifications
-
- 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
- A61B1/31—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 rectum, e.g. proctoscopes, sigmoidoscopes, colonoscopes
-
- 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
- A61B1/000096—Operational features of endoscopes characterised by electronic signal processing of image signals during a use of endoscope using artificial intelligence
-
- 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
- A61B1/00043—Operational features of endoscopes provided with output arrangements
- A61B1/00045—Display arrangement
- A61B1/0005—Display arrangement combining images e.g. side-by-side, superimposed or tiled
-
- 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
- A61B1/00043—Operational features of endoscopes provided with output arrangements
Definitions
- the object of the invention is the system for analysis and compression of video results of an endoscopic examination used in the diagnosis of large intestine.
- the System and method for performing a three-dimensional virtual segmentation and examination used particularly in the field of colonoscopy is known from the patent application US6331116B1.
- the System for digital bowel subtraction and polyp detection is known from the patent application US6947784B2
- the System for virtual endoscopy in which 3D images are generated based on 2D images is known from the patent application US20100265251A1.
- the solutions known in the prior art do not implement the system for compression of images gathered during the examination and do not include the element of video frame indexation with endoscope position as a depth measured from the caecum.
- the essence of the solution according to this invention is the system for analysis and compression of video results of the endoscopic examination using the endoscope, auxiliary monitor, computer program and database of graphic files with the images of lesions, characterised in that the computer program indexes the frames from the large intestine endoscopic examination video recording saved as a digital file with endoscope position as a depth measured from the caecum.
- the software selects out of the indexed images those which, in accordance with the results of the classification algorithm based on machine learning from the graphic files with images of lesions, contain the largest amount of diagnostic information.
- the images indexed with the endoscope position information are then compressed using the lossy compression mechanisms, and the lossy compression factor for each of those single images is variable on the surface and depends on the content of diagnostic information.
- the computer program displays on the auxiliary monitor the images saved in the container file, which were obtained from the same part of the large intestine in which the endoscope is currently located, but in the previous examination of the particular patient.
- the computer program can display the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are marked with a specific colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination.
- Fig. 1 is a schematic diagram of the system.
- the system for analysis and compression of video results of the endoscopic examination using the endoscope, auxiliary monitor, computer program and database of graphic files with the images of lesions characterised in that the computer program indexes the frames from the large intestine endoscopic examination video recording saved as a digital file with endoscope position as a depth measured from the caecum.
- the software selects out of the indexed images those which, in accordance with the results of the classification algorithm based on machine learning from the graphic files with images of lesions, contain the largest amount of diagnostic information.
- the images indexed with the endoscope position information are then compressed using the lossy compression mechanisms, and the lossy compression factor for each of those single images is variable on surface and depends on the content of diagnostic information.
- the computer program displays on the auxiliary monitor the images saved in the container file, which were obtained from the same part of the large intestine in which the endoscope is currently located, but in the previous examination of the particular patient.
- the computer program can display the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are distinguished by colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination.
- the computer program displays the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are marked with a specific colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination.
Abstract
System for analysis and compression of video results of the endoscopic examination using the endoscope, auxiliary monitor, computer program and database of graphic files with the images of lesions, characterised in that the computer program indexes the frames from the large intestine endoscopic examination video recording saved as a digital file with endoscope position as a depth measured from the caecum. Next, the software selects out of the indexed images those which, in accordance with the results of the classification algorithm based on machine learning from the graphic files with images of lesions, contain the largest amount of diagnostic information. The images indexed with the endoscope position information are then compressed using the lossy compression mechanisms, and the lossy compression factor for each of those single images is variable on the surface and depends on the content of diagnostic information. Then, the images compressed in such a way are saved in the container file along with the depth resulting from the indexing information. Further in the course of the endoscopic examination, the computer program displays on the auxiliary monitor the images saved in the container file, which were obtained from the same part of the large intestine in which the endoscope is currently located, but in the previous examination of the particular patient.
Description
System for analysis and compression of video results of an endoscopic
examination
Technical field
The object of the invention is the system for analysis and compression of video results of an endoscopic examination used in the diagnosis of large intestine.
Background art
Different types of the endoscopic examination support methods and systems are known in the prior art. For example, the System and method for performing a three-dimensional virtual segmentation and examination used particularly in the field of colonoscopy is known from the patent application US6331116B1. In turn, the System for digital bowel subtraction and polyp detection is known from the patent application US6947784B2 and the System for virtual endoscopy in which 3D images are generated based on 2D images is known from the patent application US20100265251A1. Flowever, the solutions known in the prior art do not implement the system for compression of images gathered during the examination and do not include the element of video frame indexation with endoscope position as a depth measured from the caecum.
Disclosure of invention
The essence of the solution according to this invention is the system for analysis and compression of video results of the endoscopic examination using the endoscope, auxiliary monitor, computer program and database of graphic files with the images of lesions, characterised in that the computer program indexes the frames from the large intestine endoscopic examination video recording saved as a digital file with endoscope position as a depth measured from the caecum. Next, the software selects out of the indexed images those which, in accordance with the results of the classification algorithm based on machine learning from the graphic files with images of lesions, contain the largest amount of diagnostic information. The images indexed with the endoscope position information are then compressed
using the lossy compression mechanisms, and the lossy compression factor for each of those single images is variable on the surface and depends on the content of diagnostic information. Then, the images compressed in such a way are saved in the container file along with the depth resulting from the indexing information. Further in the course of the endoscopic examination, the computer program displays on the auxiliary monitor the images saved in the container file, which were obtained from the same part of the large intestine in which the endoscope is currently located, but in the previous examination of the particular patient. In the system, the computer program can display the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are marked with a specific colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination.
Brief description of drawings
The object of the invention is shown in the drawing where Fig. 1 is a schematic diagram of the system.
Best Mode for Carrying Out the Invention
The system for analysis and compression of video results of the endoscopic examination using the endoscope, auxiliary monitor, computer program and database of graphic files with the images of lesions, characterised in that the computer program indexes the frames from the large intestine endoscopic examination video recording saved as a digital file with endoscope position as a depth measured from the caecum. Next, the software selects out of the indexed images those which, in accordance with the results of the classification algorithm based on machine learning from the graphic files with images of lesions, contain the largest amount of diagnostic information. The images indexed with the endoscope position information are then compressed using the lossy compression mechanisms, and the lossy compression factor for each of those single images is variable on
surface and depends on the content of diagnostic information. Then, the images compressed in such a way are saved in the container file along with the depth resulting from the indexing information. Further in the course of the endoscopic examination, the computer program displays on the auxiliary monitor the images saved in the container file, which were obtained from the same part of the large intestine in which the endoscope is currently located, but in the previous examination of the particular patient. In the system, the computer program can display the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are distinguished by colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination. The computer program displays the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are marked with a specific colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination.
Claims
1. System for analysis and compression of video results of the endoscopic examination using the endoscope, auxiliary monitor, computer program and database of graphic files with the images of lesions, characterised in that the computer program indexes the frames from the large intestine endoscopic examination video recording saved as a digital file with endoscope position as a depth measured from the caecum. Next, the software selects out of the indexed images those which, in accordance with the results of the classification algorithm based on machine learning from the graphic files with images of lesions, contain the largest amount of diagnostic information. The images indexed with the endoscope position information are then compressed using the lossy compression mechanisms, and the lossy compression factor for each of those single images is variable on the surface and depends on the content of diagnostic information. Then, the images compressed in such a way are saved in the container file along with the depth resulting from the indexing information. Further in the course of the endoscopic examination, the computer program displays on the auxiliary monitor the images saved in the container file, which were obtained from the same part of the large intestine in which the endoscope is currently located, but in the previous examination of the particular patient.
2. System according to claim 1, characterised in that the computer program can display the results of automatic analysis of lesions, in particular polyps, on the auxiliary monitor, and the lesions are marked with a specific colour in the image on the auxiliary monitor, whereas the image displayed on the endoscope monitor and the auxiliary monitor is synchronised so that you can view the same fragments of the large intestine during the endoscopic examination.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/IB2019/000244 WO2020254845A1 (en) | 2019-04-02 | 2019-04-02 | System for analysis and compression of video results of an endoscopic examination |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/IB2019/000244 WO2020254845A1 (en) | 2019-04-02 | 2019-04-02 | System for analysis and compression of video results of an endoscopic examination |
Publications (1)
| Publication Number | Publication Date |
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| WO2020254845A1 true WO2020254845A1 (en) | 2020-12-24 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| PCT/IB2019/000244 WO2020254845A1 (en) | 2019-04-02 | 2019-04-02 | System for analysis and compression of video results of an endoscopic examination |
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06325141A (en) * | 1993-05-12 | 1994-11-25 | Olympus Optical Co Ltd | Medical image filing device |
| US6331116B1 (en) | 1996-09-16 | 2001-12-18 | The Research Foundation Of State University Of New York | System and method for performing a three-dimensional virtual segmentation and examination |
| US6947784B2 (en) | 2000-04-07 | 2005-09-20 | The General Hospital Corporation | System for digital bowel subtraction and polyp detection and related techniques |
| US20100265251A1 (en) | 1997-02-25 | 2010-10-21 | Vining David J | Virtual Endoscopy with Improved Image Segmentation and Lesion Detection |
| US20110301447A1 (en) * | 2010-06-07 | 2011-12-08 | Sti Medical Systems, Llc | Versatile video interpretation, visualization, and management system |
| WO2018142664A1 (en) * | 2017-02-02 | 2018-08-09 | オリンパス株式会社 | Endoscopic image observation assistance system |
-
2019
- 2019-04-02 WO PCT/IB2019/000244 patent/WO2020254845A1/en active Application Filing
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH06325141A (en) * | 1993-05-12 | 1994-11-25 | Olympus Optical Co Ltd | Medical image filing device |
| US6331116B1 (en) | 1996-09-16 | 2001-12-18 | The Research Foundation Of State University Of New York | System and method for performing a three-dimensional virtual segmentation and examination |
| US20100265251A1 (en) | 1997-02-25 | 2010-10-21 | Vining David J | Virtual Endoscopy with Improved Image Segmentation and Lesion Detection |
| US6947784B2 (en) | 2000-04-07 | 2005-09-20 | The General Hospital Corporation | System for digital bowel subtraction and polyp detection and related techniques |
| US20110301447A1 (en) * | 2010-06-07 | 2011-12-08 | Sti Medical Systems, Llc | Versatile video interpretation, visualization, and management system |
| WO2018142664A1 (en) * | 2017-02-02 | 2018-08-09 | オリンパス株式会社 | Endoscopic image observation assistance system |
| US20190313883A1 (en) * | 2017-02-02 | 2019-10-17 | Olympus Corporation | Endoscopic image observation support system |
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