JP2019208851A - 眼底画像処理装置および眼底画像処理プログラム - Google Patents

眼底画像処理装置および眼底画像処理プログラム Download PDF

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Publication number
JP2019208851A
JP2019208851A JP2018107281A JP2018107281A JP2019208851A JP 2019208851 A JP2019208851 A JP 2019208851A JP 2018107281 A JP2018107281 A JP 2018107281A JP 2018107281 A JP2018107281 A JP 2018107281A JP 2019208851 A JP2019208851 A JP 2019208851A
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Prior art keywords
fundus image
image processing
processing apparatus
region
fundus
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JP2018107281A
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Japanese (ja)
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JP2019208851A5 (https=
Inventor
涼介 柴
Ryosuke Shiba
涼介 柴
佳紀 熊谷
Yoshinori Kumagai
佳紀 熊谷
祐輔 坂下
Yusuke Sakashita
祐輔 坂下
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Nidek Co Ltd
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Nidek Co Ltd
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Priority to JP2018107281A priority Critical patent/JP2019208851A/ja
Priority to US16/427,446 priority patent/US20190365314A1/en
Publication of JP2019208851A publication Critical patent/JP2019208851A/ja
Publication of JP2019208851A5 publication Critical patent/JP2019208851A5/ja
Pending legal-status Critical Current

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/48—Other medical applications
    • A61B5/4887—Locating particular structures in or on the body
    • A61B5/489—Blood vessels
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/0016—Operational features thereof
    • A61B3/0025—Operational features thereof characterised by electronic signal processing, e.g. eye models
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/12—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for looking at the eye fundus, e.g. ophthalmoscopes
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
    • A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
    • A61B3/14—Arrangements specially adapted for eye photography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
    • A61B5/1075—Measuring physical dimensions, e.g. size of the entire body or parts thereof for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/14—Vascular patterns
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/193—Preprocessing; Feature extraction
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/197—Matching; Classification
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20081—Training; Learning
    • 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
    • G06T2207/20—Special algorithmic details
    • G06T2207/20084—Artificial neural networks [ANN]
    • 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
    • G06T2207/30041—Eye; Retina; Ophthalmic
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00—Indexing scheme relating to image or video recognition or understanding
    • G06V2201/03—Recognition of patterns in medical or anatomical images

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  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Ophthalmology & Optometry (AREA)
  • Artificial Intelligence (AREA)
  • Pathology (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Vascular Medicine (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Mathematical Physics (AREA)
  • Physiology (AREA)
  • Psychiatry (AREA)
  • Fuzzy Systems (AREA)
  • Evolutionary Computation (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Eye Examination Apparatus (AREA)
JP2018107281A 2018-06-04 2018-06-04 眼底画像処理装置および眼底画像処理プログラム Pending JP2019208851A (ja)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2018107281A JP2019208851A (ja) 2018-06-04 2018-06-04 眼底画像処理装置および眼底画像処理プログラム
US16/427,446 US20190365314A1 (en) 2018-06-04 2019-05-31 Ocular fundus image processing device and non-transitory computer-readable medium storing computer-readable instructions

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JP2018107281A JP2019208851A (ja) 2018-06-04 2018-06-04 眼底画像処理装置および眼底画像処理プログラム

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JP2019208851A true JP2019208851A (ja) 2019-12-12
JP2019208851A5 JP2019208851A5 (https=) 2021-06-17

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022011912A (ja) * 2020-06-30 2022-01-17 キヤノン株式会社 画像処理装置、画像処理方法、及びプログラム

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111563910B (zh) * 2020-05-13 2023-06-06 上海鹰瞳医疗科技有限公司 眼底图像分割方法及设备
CN111968083B (zh) * 2020-08-03 2024-05-14 上海美沃精密仪器股份有限公司 一种基于深度学习的在线泪膜破裂时间检测方法
WO2023017875A1 (ko) * 2021-08-12 2023-02-16 고려대학교 산학협력단 안저영상을 기초로 생체 계측치를 예측하는 장치 및 방법

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001145604A (ja) * 1999-11-19 2001-05-29 Nippon Telegr & Teleph Corp <Ntt> 眼底画像の動静脈識別方法及び装置
US20060257031A1 (en) * 2005-03-31 2006-11-16 Michael Abramoff Automatic detection of red lesions in digital color fundus photographs
JP2007319403A (ja) * 2006-05-31 2007-12-13 Topcon Corp 診療支援システム、診療支援装置及び診療支援プログラム
US20100142767A1 (en) * 2008-12-04 2010-06-10 Alan Duncan Fleming Image Analysis
US20120257164A1 (en) * 2011-04-07 2012-10-11 The Chinese University Of Hong Kong Method and device for retinal image analysis
JP2014504523A (ja) * 2011-01-20 2014-02-24 ユニバーシティ オブ アイオワ リサーチ ファウンデーション 血管画像における動静脈比の自動測定
JP2018011726A (ja) * 2016-07-20 2018-01-25 大日本印刷株式会社 眼底画像処理装置
US20180047159A1 (en) * 2015-03-02 2018-02-15 Medizinische Universität Wien Computerized device and method for processing image data
JP2018046959A (ja) * 2016-09-21 2018-03-29 株式会社トプコン 眼科撮影装置
WO2018063451A1 (en) * 2016-09-29 2018-04-05 Magic Leap, Inc. Neural network for eye image segmentation and image quality estimation

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2001145604A (ja) * 1999-11-19 2001-05-29 Nippon Telegr & Teleph Corp <Ntt> 眼底画像の動静脈識別方法及び装置
US20060257031A1 (en) * 2005-03-31 2006-11-16 Michael Abramoff Automatic detection of red lesions in digital color fundus photographs
JP2007319403A (ja) * 2006-05-31 2007-12-13 Topcon Corp 診療支援システム、診療支援装置及び診療支援プログラム
US20100142767A1 (en) * 2008-12-04 2010-06-10 Alan Duncan Fleming Image Analysis
JP2014504523A (ja) * 2011-01-20 2014-02-24 ユニバーシティ オブ アイオワ リサーチ ファウンデーション 血管画像における動静脈比の自動測定
US20120257164A1 (en) * 2011-04-07 2012-10-11 The Chinese University Of Hong Kong Method and device for retinal image analysis
US20180047159A1 (en) * 2015-03-02 2018-02-15 Medizinische Universität Wien Computerized device and method for processing image data
JP2018011726A (ja) * 2016-07-20 2018-01-25 大日本印刷株式会社 眼底画像処理装置
JP2018046959A (ja) * 2016-09-21 2018-03-29 株式会社トプコン 眼科撮影装置
WO2018063451A1 (en) * 2016-09-29 2018-04-05 Magic Leap, Inc. Neural network for eye image segmentation and image quality estimation

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2022011912A (ja) * 2020-06-30 2022-01-17 キヤノン株式会社 画像処理装置、画像処理方法、及びプログラム
JP7344847B2 (ja) 2020-06-30 2023-09-14 キヤノン株式会社 画像処理装置、画像処理方法、及びプログラム

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