EP1512122A1 - Procede et dispositif d'evaluation d'images prises au moyen d'une camera d'ophtalmoscopie - Google Patents

Procede et dispositif d'evaluation d'images prises au moyen d'une camera d'ophtalmoscopie

Info

Publication number
EP1512122A1
EP1512122A1 EP03756985A EP03756985A EP1512122A1 EP 1512122 A1 EP1512122 A1 EP 1512122A1 EP 03756985 A EP03756985 A EP 03756985A EP 03756985 A EP03756985 A EP 03756985A EP 1512122 A1 EP1512122 A1 EP 1512122A1
Authority
EP
European Patent Office
Prior art keywords
images
image
evaluating
analysis
fundus
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.)
Ceased
Application number
EP03756985A
Other languages
German (de)
English (en)
Inventor
Axel Doering
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.)
Carl Zeiss Meditec AG
Original Assignee
Carl Zeiss Meditec AG
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 Carl Zeiss Meditec AG filed Critical Carl Zeiss Meditec AG
Publication of EP1512122A1 publication Critical patent/EP1512122A1/fr
Ceased legal-status Critical Current

Links

Classifications

    • 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
    • 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

Definitions

  • the subject of the presented invention is a method and an arrangement which enables the coupling of an image-oriented medical information system (hereinafter "Atlas”) with a digital image acquisition and image archiving system for ophthalmology in such a way that
  • Align image-oriented medical information system
  • context information information derived from the current state of the image acquisition and archiving system
  • context information can be used to compile a selection of information to be provided by the atlas that is relevant to the current work of the user
  • the atlas can be expanded to include documented images provided by the user of the image acquisition and image archiving system
  • the execution model (figure) consists of an image acquisition system connected to a fundus camera in combination with an image archiving system (figure), which is to be coupled with an atlas of fundus images (hereinafter: retinal atlas) installed on the same computer
  • retinal atlas an atlas of fundus images
  • the claim of the invention consists in the suitable selection of the context information and the use of a method which enables a fuzzy search for corresponding entries in the retina atlas.
  • a fundus camera 1 for recording the fundus for example a Zeiss fundus camera FF 450+
  • the images are examined by the evaluation unit 3 for certain structures or features, for example by gray value analysis and a. Grayscale histogram, by color analysis and a color histogram or by recording characteristic structures (example)
  • a comparison operator 5 is connected to an internal or external database 6, which can be, for example, a retinal atlas according to (source of supply) as a CD-ROM or an Internet database, and compares recorded images of the fundus camera according to the examined criterion (color, gray value, structure) previously recorded images or archived images. These can be fundus images of other eyes from pre-stored archives, but also images taken earlier of one and the same patient. Furthermore, the comparison operator 5 can create a new data memory for the recorded image in order to use it later for comparison purposes. This is particularly interesting if a) the recorded image has features with regard to the image analysis that do not match or only partially match stored images and it is saved to record a new clinical picture b) the recorded image as the basis for a later comparison with newly recorded images should serve
  • Context information is obtained from
  • the second class of methods includes
  • Table 1 possible attribute vector for a fundus image
  • the transferred attribute vector images belonging to the same subject area are to be searched for from the retinal atlas and brought into an order corresponding to the similarity, so that the user is relieved of the manual review of a large number of images.
  • the attribute vector according to Table 1 all images of non-proliferative diabetic retinopathy should be found. A prerequisite for this is that corresponding attributes have already been determined for all images recorded in the retinal atlas. Then measures of similarity to the given attribute vector can be determined and a correspondingly sorted set of hit images, or a chapter or subsection of the retina atlas that receives the majority of hits, can be returned using hierarchical search methods ([7], [8]).
  • the user of the image acquisition and archiving system has the possibility to comment on self-made (or taken from the image archive) images and add them to the retina atlas by dividing them into existing chapters or creating new chapters or subsections.
  • the attributes are generated automatically and the image index is supplemented so that these new images are available for future searches in the Retina Atlas.
  • An operating function of the Retina Atlas gives the user the option of transferring selected images from the Retina Atlas into the patient file of the image archiving system for documentation purposes.

Landscapes

  • Engineering & Computer Science (AREA)
  • Quality & Reliability (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Eye Examination Apparatus (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne un procédé et un dispositif d'évaluation d'images prises au moyen d'une caméra d'ophtalmoscopie. Le procédé selon l'invention consiste à déterminer des écarts par rapport à une image de référence enregistrée et/ou une image standard obtenue par évaluation de plusieurs images de référence et/ou à effectuer une analyse de similitude au moyen d'une image de référence enregistrée et/ou d'une image standard obtenue par évaluation de plusieurs images de référence.
EP03756985A 2002-06-07 2003-02-28 Procede et dispositif d'evaluation d'images prises au moyen d'une camera d'ophtalmoscopie Ceased EP1512122A1 (fr)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE10225855 2002-06-07
DE10225855A DE10225855A1 (de) 2002-06-07 2002-06-07 Verfahren und Anordnung zur Auswertung von mit einer Funduskamera aufgenommenen Bildern
PCT/EP2003/002098 WO2003105086A1 (fr) 2002-06-07 2003-02-28 Procede et dispositif d'evaluation d'images prises au moyen d'une camera d'ophtalmoscopie

Publications (1)

Publication Number Publication Date
EP1512122A1 true EP1512122A1 (fr) 2005-03-09

Family

ID=29594373

Family Applications (1)

Application Number Title Priority Date Filing Date
EP03756985A Ceased EP1512122A1 (fr) 2002-06-07 2003-02-28 Procede et dispositif d'evaluation d'images prises au moyen d'une camera d'ophtalmoscopie

Country Status (5)

Country Link
US (1) US20050171974A1 (fr)
EP (1) EP1512122A1 (fr)
JP (1) JP2005528966A (fr)
DE (1) DE10225855A1 (fr)
WO (1) WO2003105086A1 (fr)

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US7685209B1 (en) * 2004-09-28 2010-03-23 Yahoo! Inc. Apparatus and method for normalizing user-selected keywords in a folksonomy
US8243999B2 (en) 2006-05-03 2012-08-14 Ut-Battelle, Llc Method and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient data
US7600801B2 (en) * 2006-12-20 2009-10-13 Globe Motors, Inc. Seat storage actuator
US8218838B2 (en) * 2008-11-03 2012-07-10 Ut-Battelle, Llc Method and system for assigning a confidence metric for automated determination of optic disc location
EP2187327A1 (fr) * 2008-11-18 2010-05-19 F. Hoffmann-Roche AG Procédé de traitement graphique d'enregistrements de données affichées pour minimiser un taux d'erreur de sélection
US8330807B2 (en) * 2009-05-29 2012-12-11 Convergent Medical Solutions, Inc. Automated assessment of skin lesions using image library
GB2470727A (en) * 2009-06-02 2010-12-08 Univ Aberdeen Processing retinal images using mask data from reference images
US20110129133A1 (en) * 2009-12-02 2011-06-02 Ramos Joao Diogo De Oliveira E Methods and systems for detection of retinal changes
CN102999903B (zh) * 2012-11-14 2014-12-24 南京理工大学 遥感图像光照一致性定量评价方法
WO2015013632A1 (fr) 2013-07-26 2015-01-29 The Regents Of The University Of Michigan Mesure automatique de changements dans une maladie rétinienne, épithéliale du pigment rétinien, ou choroïdienne
US9757023B2 (en) 2015-05-27 2017-09-12 The Regents Of The University Of Michigan Optic disc detection in retinal autofluorescence images
CN107423571B (zh) * 2017-05-04 2018-07-06 深圳硅基仿生科技有限公司 基于眼底图像的糖尿病视网膜病变识别系统
CN116421140B (zh) * 2023-06-12 2023-09-05 杭州目乐医疗科技股份有限公司 眼底相机控制方法、眼底相机与存储介质

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Also Published As

Publication number Publication date
US20050171974A1 (en) 2005-08-04
DE10225855A1 (de) 2003-12-24
JP2005528966A (ja) 2005-09-29
WO2003105086A1 (fr) 2003-12-18

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