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WO2003030101A3 - Detection of vessels in an image - Google Patents

Detection of vessels in an image Download PDF

Info

Publication number
WO2003030101A3
WO2003030101A3 PCT/DK2002/000662 DK0200662W WO03030101A3 WO 2003030101 A3 WO2003030101 A3 WO 2003030101A3 DK 0200662 W DK0200662 W DK 0200662W WO 03030101 A3 WO03030101 A3 WO 03030101A3
Authority
WO
WIPO (PCT)
Prior art keywords
image
vessels
vessel segments
detection
tracking process
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
PCT/DK2002/000662
Other languages
French (fr)
Other versions
WO2003030101A2 (en
Inventor
Ebbe Soerensen
Johan Dore Hansen
Michael Grunkin
Niels Vaever Hartvig
Jannik Godt
Per Roensholt Andresen
Soffia Bjoerk Smith
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.)
RETINALYZE AS
Original Assignee
RETINALYZE AS
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 RETINALYZE AS filed Critical RETINALYZE AS
Publication of WO2003030101A2 publication Critical patent/WO2003030101A2/en
Publication of WO2003030101A3 publication Critical patent/WO2003030101A3/en
Anticipated expiration legal-status Critical
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
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • 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
    • G06T2207/10072—Tomographic images
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Image Analysis (AREA)
  • Eye Examination Apparatus (AREA)

Abstract

The present invention relates to a method for detecting vessels in an image and a system therefor, wherein said image may be any image comprising vessels, in particular an image from medical image diagnostics, and more particularly an ocular fundus image. The method includes tracking vessel segments from starting points, wherein the tracking process correlates identified vessel segments with estimated values for the vessel segments. Also the invention provides a validation of tracked vessels when the tracking process stops due to stop criteria.
PCT/DK2002/000662 2001-10-03 2002-10-03 Detection of vessels in an image Ceased WO2003030101A2 (en)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
DKPA200101452 2001-10-03
DKPA200101452 2001-10-03
DKPA200200633 2002-04-25
DKPA200200633 2002-04-25
US37627002P 2002-04-30 2002-04-30
US60/376,270 2002-04-30

Publications (2)

Publication Number Publication Date
WO2003030101A2 WO2003030101A2 (en) 2003-04-10
WO2003030101A3 true WO2003030101A3 (en) 2004-03-25

Family

ID=27222546

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/DK2002/000662 Ceased WO2003030101A2 (en) 2001-10-03 2002-10-03 Detection of vessels in an image

Country Status (1)

Country Link
WO (1) WO2003030101A2 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4411071B2 (en) 2001-10-03 2010-02-10 レティナリゼ・ダンマーク・アクティーゼルスカブ Assessment of lesions in the image
GB2470727A (en) * 2009-06-02 2010-12-08 Univ Aberdeen Processing retinal images using mask data from reference images
EP3505059B1 (en) * 2017-12-28 2025-08-27 Leica Instruments (Singapore) Pte. Ltd. Apparatus and method for measuring blood flow direction using a fluorophore
CN109377481B (en) * 2018-09-27 2022-05-24 上海联影医疗科技股份有限公司 Image quality evaluation method, image quality evaluation device, computer equipment and storage medium
US11024062B2 (en) 2018-06-11 2021-06-01 Shanghai United Imaging Healthcare Co., Ltd. Systems and methods for evaluating image quality
CN111640124B (en) * 2020-05-25 2023-06-02 浙江同花顺智能科技有限公司 Blood vessel extraction method, device, equipment and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2623642A1 (en) * 1987-11-23 1989-05-26 Thomson Rech Method of segmenting vascular angiographic images by vectorial tracking of axes and servo-controlled detection of contours
EP0506327A2 (en) * 1991-03-28 1992-09-30 Texas Instruments Incorporated A system and method for ranking and extracting salient contours for target recognition
WO2001059707A1 (en) * 2000-02-11 2001-08-16 The Government Of The United States Of America, As Represented By The Secretary, Dept. Of Health And Human Services Vessel delineation in magnetic resonance angiographic images
WO2001078010A2 (en) * 2000-04-07 2001-10-18 Aylward Stephen R Systems and methods for tubular object processing

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2623642A1 (en) * 1987-11-23 1989-05-26 Thomson Rech Method of segmenting vascular angiographic images by vectorial tracking of axes and servo-controlled detection of contours
EP0506327A2 (en) * 1991-03-28 1992-09-30 Texas Instruments Incorporated A system and method for ranking and extracting salient contours for target recognition
WO2001059707A1 (en) * 2000-02-11 2001-08-16 The Government Of The United States Of America, As Represented By The Secretary, Dept. Of Health And Human Services Vessel delineation in magnetic resonance angiographic images
WO2001078010A2 (en) * 2000-04-07 2001-10-18 Aylward Stephen R Systems and methods for tubular object processing

Also Published As

Publication number Publication date
WO2003030101A2 (en) 2003-04-10

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