CA2458815A1 - Systeme et procede de depistage de la retinopathie diabetique chez des patients - Google Patents

Systeme et procede de depistage de la retinopathie diabetique chez des patients Download PDF

Info

Publication number
CA2458815A1
CA2458815A1 CA002458815A CA2458815A CA2458815A1 CA 2458815 A1 CA2458815 A1 CA 2458815A1 CA 002458815 A CA002458815 A CA 002458815A CA 2458815 A CA2458815 A CA 2458815A CA 2458815 A1 CA2458815 A1 CA 2458815A1
Authority
CA
Canada
Prior art keywords
images
retinal
image
diabetic retinopathy
hemorrhages
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002458815A
Other languages
English (en)
Inventor
Stephen H. Sinclair
Sanjay Bhasin
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
PHILADELPHIA OPHTHALMIC IMAGING SYSTEMS
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of CA2458815A1 publication Critical patent/CA2458815A1/fr
Abandoned legal-status Critical Current

Links

Classifications

    • 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
    • A61B3/1241—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 specially adapted for observation of ocular blood flow, e.g. by fluorescein angiography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Vascular Medicine (AREA)
  • Physics & Mathematics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biophysics (AREA)
  • Ophthalmology & Optometry (AREA)
  • Engineering & Computer Science (AREA)
  • Hematology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Veterinary Medicine (AREA)
  • Eye Examination Apparatus (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne une technique robuste permettant de classer automatiquement des images rétiniennes par degrés au moyen de la détection de lésions survenant au début d'une rétinopathie diabétique : petites hémorragies rétiniennes ou micro-anévrismes, hémorragies en taches et en stries, exsudats de lipides et infarctus d'une couche de fibres nerveuses. De plus, l'invention concerne des procédés d'extraction du nerf optique dans les régions convenablement identifiées, et de suivi et d'identification des vaisseaux (par la mesure des diamètres, de la tortuosité et des angles de ramification des vaisseaux). L'invention identifie de préférence 3 niveaux : absence de rétinopathie, micro-anévrismes uniquement, et lésions s'ajoutant aux micro-anévrismes ; les deux derniers niveaux étant les formes de la maladie que l'on peut détecter le plus tôt. Ce procédé permet notamment de surmonter les difficultés posées par la détermination du degré de la rétinopathie, qui sont causées par la variation image à image, le faible contraste de certaines lésions situées à l'arrière-plan, et l'éclairage non uniforme et lumière parasite à l'intérieur de la même image, qui sont à l'origine de la variation dans différents quadrants de la même image. Le système peut utiliser le marquage d'images d'un expert humain et le classement par degrés de la rétinopathie, afin d'améliorer l'évaluation de la qualité de l'image, la détection des lésions et le classement de la rétinopathie.
CA002458815A 2001-08-30 2002-08-30 Systeme et procede de depistage de la retinopathie diabetique chez des patients Abandoned CA2458815A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US31595301P 2001-08-30 2001-08-30
US60/315,953 2001-08-30
PCT/US2002/027586 WO2003020112A2 (fr) 2001-08-30 2002-08-30 Systeme et procede de depistage de la retinopathie diabetique chez des patients

Publications (1)

Publication Number Publication Date
CA2458815A1 true CA2458815A1 (fr) 2003-03-13

Family

ID=23226811

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002458815A Abandoned CA2458815A1 (fr) 2001-08-30 2002-08-30 Systeme et procede de depistage de la retinopathie diabetique chez des patients

Country Status (6)

Country Link
EP (1) EP1427338A2 (fr)
JP (1) JP2005508215A (fr)
AU (1) AU2002327575A1 (fr)
CA (1) CA2458815A1 (fr)
IL (1) IL160645A0 (fr)
WO (1) WO2003020112A2 (fr)

Families Citing this family (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2003082082A2 (fr) * 2002-03-28 2003-10-09 Heidelberg Engineering Optische Messsysteme Gmbh Procede d'examen du fond de l'oeil
JP5014593B2 (ja) * 2005-06-01 2012-08-29 興和株式会社 眼科測定装置
JP4958254B2 (ja) * 2005-09-30 2012-06-20 興和株式会社 画像解析システム、及び画像解析プログラム
WO2008062528A1 (fr) * 2006-11-24 2008-05-29 Nidek Co., Ltd. Analyseur d'image de fond d'œil
JP5182689B2 (ja) * 2008-02-14 2013-04-17 日本電気株式会社 眼底画像解析方法およびその装置とプログラム
AU2009234503B2 (en) * 2008-04-08 2014-01-16 National University Of Singapore Retinal image analysis systems and methods
EP2348955B1 (fr) * 2008-10-15 2021-12-15 Optibrand LTD., LLC Procédé et appareil permettant d'obtenir une image d'une caractéristique oculaire
GB0902280D0 (en) * 2009-02-12 2009-03-25 Univ Aberdeen Disease determination
US20110129133A1 (en) 2009-12-02 2011-06-02 Ramos Joao Diogo De Oliveira E Methods and systems for detection of retinal changes
US9357916B2 (en) * 2012-05-10 2016-06-07 Carl Zeiss Meditec, Inc. Analysis and visualization of OCT angiography data
US9364147B2 (en) * 2013-02-11 2016-06-14 Lifelens, Llc System, method and device for automatic noninvasive screening for diabetes and pre-diabetes
TWI549649B (zh) 2013-09-24 2016-09-21 廣達電腦股份有限公司 頭戴式系統
US8885901B1 (en) 2013-10-22 2014-11-11 Eyenuk, Inc. Systems and methods for automated enhancement of retinal images
WO2015187861A1 (fr) * 2014-06-03 2015-12-10 Socialeyes Corporation Systèmes et procédés de flux de travail, d'évaluation et de classement de rétinopathie à l'aide de dispositifs mobiles
US20160278983A1 (en) * 2015-03-23 2016-09-29 Novartis Ag Systems, apparatuses, and methods for the optimization of laser photocoagulation
JP6745496B2 (ja) * 2016-08-19 2020-08-26 学校法人自治医科大学 糖尿病網膜症の病期判定支援システムおよび糖尿病網膜症の病期の判定を支援する方法
US10169872B2 (en) 2016-11-02 2019-01-01 International Business Machines Corporation Classification of severity of pathological condition using hybrid image representation
JP2021007017A (ja) * 2020-09-15 2021-01-21 株式会社トプコン 医用画像処理方法及び医用画像処理装置

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6198532B1 (en) * 1991-02-22 2001-03-06 Applied Spectral Imaging Ltd. Spectral bio-imaging of the eye
US5940802A (en) * 1997-03-17 1999-08-17 The Board Of Regents Of The University Of Oklahoma Digital disease management system

Also Published As

Publication number Publication date
JP2005508215A (ja) 2005-03-31
IL160645A0 (en) 2004-07-25
WO2003020112A2 (fr) 2003-03-13
AU2002327575A1 (en) 2003-03-18
EP1427338A2 (fr) 2004-06-16
WO2003020112A3 (fr) 2003-10-16
WO2003020112A9 (fr) 2004-05-06

Similar Documents

Publication Publication Date Title
Ramasamy et al. Detection of diabetic retinopathy using a fusion of textural and ridgelet features of retinal images and sequential minimal optimization classifier
Xiong et al. An approach to evaluate blurriness in retinal images with vitreous opacity for cataract diagnosis
Sánchez et al. Retinal image analysis to detect and quantify lesions associated with diabetic retinopathy
US7474775B2 (en) Automatic detection of red lesions in digital color fundus photographs
CA2458815A1 (fr) Systeme et procede de depistage de la retinopathie diabetique chez des patients
Siddalingaswamy et al. Automatic grading of diabetic maculopathy severity levels
Raja et al. Clinically verified hybrid deep learning system for retinal ganglion cells aware grading of glaucomatous progression
Jan et al. Retinal image analysis aimed at blood vessel tree segmentation and early detection of neural-layer deterioration
Hunter et al. Automated diagnosis of referable maculopathy in diabetic retinopathy screening
Agrawal et al. A survey on automated microaneurysm detection in diabetic retinopathy retinal images
Remeseiro et al. CASDES: a computer-aided system to support dry eye diagnosis based on tear film maps
Sakthivel et al. An automated detection of glaucoma using histogram features
Hassan et al. Exploiting the transferability of deep learning systems across multi-modal retinal scans for extracting retinopathy lesions
Giancardo Automated fundus images analysis techniques to screen retinal diseases in diabetic patients
Mookiah et al. Computer aided diagnosis of diabetic retinopathy using multi-resolution analysis and feature ranking frame work
Brata Chanda et al. Automatic identification of blood vessels, exaudates and abnormalities in retinal images for diabetic retinopathy analysis
Noronha et al. A review of fundus image analysis for the automated detection of diabetic retinopathy
Umamageswari et al. Identifying Diabetics Retinopathy using Deep Learning based Classification
Subramanian et al. Diagnosis of Keratoconus with Corneal Features Obtained through LBP, LDP, LOOP and CSO
Azeroual et al. Convolutional Neural Network for Segmentation and Classification of Glaucoma.
Sindhusaranya et al. Hybrid algorithm for retinal blood vessel segmentation using different pattern recognition techniques
Heyi et al. Development of a retinal image segmentation algorithm for the identifying prevalence markers of diabetic retinopathy using a neural network
Anand et al. Optic disc analysis in retinal fundus using L 2 norm of contourlet subbands, superimposed edges, and morphological filling
Chalakkal Automatic Retinal Image Analysis to Triage Retinal Pathologies
Çelik Ertuǧrul et al. Decision Support System for Diagnosing Diabetic Retinopathy from Color Fundus Images

Legal Events

Date Code Title Description
EEER Examination request
FZDE Discontinued
FZDE Discontinued

Effective date: 20110830