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WO2009101577A3 - Sélection interactive d'une région d'intérêt et segmentation de données d'image - Google Patents

Sélection interactive d'une région d'intérêt et segmentation de données d'image Download PDF

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Publication number
WO2009101577A3
WO2009101577A3 PCT/IB2009/050544 IB2009050544W WO2009101577A3 WO 2009101577 A3 WO2009101577 A3 WO 2009101577A3 IB 2009050544 W IB2009050544 W IB 2009050544W WO 2009101577 A3 WO2009101577 A3 WO 2009101577A3
Authority
WO
WIPO (PCT)
Prior art keywords
interest
points
defining
boundary
region
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/IB2009/050544
Other languages
English (en)
Other versions
WO2009101577A2 (fr
Inventor
Roland Opfer
Rafael Wiemker
Thomas Blaffert
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.)
Philips Intellectual Property and Standards GmbH
Koninklijke Philips NV
Original Assignee
Philips Intellectual Property and Standards GmbH
Koninklijke Philips Electronics NV
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 Philips Intellectual Property and Standards GmbH, Koninklijke Philips Electronics NV filed Critical Philips Intellectual Property and Standards GmbH
Publication of WO2009101577A2 publication Critical patent/WO2009101577A2/fr
Publication of WO2009101577A3 publication Critical patent/WO2009101577A3/fr
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
    • G06T2207/10—Image acquisition modality
    • G06T2207/10132—Ultrasound image
    • 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
    • G06T2207/20004—Adaptive image processing
    • G06T2207/20012—Locally adaptive
    • 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
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20101—Interactive definition of point of interest, landmark or seed
    • 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
    • G06T2207/20092—Interactive image processing based on input by user
    • G06T2207/20104—Interactive definition of region of interest [ROI]
    • 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

Landscapes

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

Abstract

L'invention porte sur un système (100) pour une définition interactive d'une région d'intérêt dans un espace de données d'image, le système (100) comprenant une unité de point (110) pour sélectionner une pluralité de points pour définir une limite de la région d'intérêt sur la base d'entrées d'utilisateur et une unité de limite (120) pour déterminer la limite sur la base de la pluralité de points, définissant ainsi la région d'intérêt, l'unité de limite comprenant en outre une unité de domaine (122) pour déterminer un espace de domaine pour une paramétrisation de la limite, une unité de projection (124) pour projeter chaque point de la pluralité de points sur l'espace de domaine et une unité d'approximation (126) pour calculer une carte pour mapper l'espace de domaine dans l'espace de données d'image, des valeurs de la carte étant des points définissant la limite de la région d'intérêt, de telle sorte que la composition de ladite projection et de ladite carte satisfait à une condition pour définir la carte. Seuls les points nécessaires pour définir la région d'intérêt nécessitent d'être sélectionnés. Pour une structure d'intérêt de forme simple, ou pour une structure d'intérêt qui est à une distance correcte d'autres structures non intéressantes, le nombre de points pour définir une région d'intérêt comprenant ladite structure d'intérêt peut être assez faible. Pour une structure d'intérêt de forme complexe, un nombre suffisant de points peut être sélectionné pour définir une région d'intérêt qui comprend ladite structure d'intérêt mais ne comprend pas, par exemple, une structure occluant la vue. Les intensités de voxels compris dans la structure d'intérêt n'affectent pas la définition de la région d'intérêt, en raison du fait que la région d'intérêt est définie sur la base de la pluralité sélectionnée de points et n'est pas affectée par lesdites intensités.
PCT/IB2009/050544 2008-02-15 2009-02-10 Sélection interactive d'une région d'intérêt et segmentation de données d'image Ceased WO2009101577A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP08151500 2008-02-15
EP08151500.9 2008-02-15

Publications (2)

Publication Number Publication Date
WO2009101577A2 WO2009101577A2 (fr) 2009-08-20
WO2009101577A3 true WO2009101577A3 (fr) 2010-01-28

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2009/050544 Ceased WO2009101577A2 (fr) 2008-02-15 2009-02-10 Sélection interactive d'une région d'intérêt et segmentation de données d'image

Country Status (1)

Country Link
WO (1) WO2009101577A2 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103514623A (zh) * 2013-09-13 2014-01-15 上海交通大学 基于分水岭算法的两维传递函数的体数据识别方法

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8411948B2 (en) 2010-03-05 2013-04-02 Microsoft Corporation Up-sampling binary images for segmentation
US8655069B2 (en) 2010-03-05 2014-02-18 Microsoft Corporation Updating image segmentation following user input
US8422769B2 (en) 2010-03-05 2013-04-16 Microsoft Corporation Image segmentation using reduced foreground training data
JP6049272B2 (ja) * 2012-02-24 2016-12-21 キヤノン株式会社 メッシュ生成装置、方法およびプログラム
US11640700B2 (en) * 2021-02-26 2023-05-02 Huawei Technologies Co., Ltd. Methods and systems for rendering virtual objects in user-defined spatial boundary in extended reality environment

Citations (3)

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US20010033283A1 (en) * 2000-02-07 2001-10-25 Cheng-Chung Liang System for interactive 3D object extraction from slice-based medical images
WO2006056614A1 (fr) * 2004-11-27 2006-06-01 Bracco Imaging S.P.A. 2d / 3d editeur de contours integre
GB2431308A (en) * 2005-10-13 2007-04-18 Elekta Ab 3D manual segmentation by placement of constraint points

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20010033283A1 (en) * 2000-02-07 2001-10-25 Cheng-Chung Liang System for interactive 3D object extraction from slice-based medical images
WO2006056614A1 (fr) * 2004-11-27 2006-06-01 Bracco Imaging S.P.A. 2d / 3d editeur de contours integre
GB2431308A (en) * 2005-10-13 2007-04-18 Elekta Ab 3D manual segmentation by placement of constraint points

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Title
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KUNERT T, HEIMANN T, SCHROTER A, SCHOBINGER M, BOTTGER T, THORN M, WOLF I, ENGELMANN U, MEINZER H.P.: "An Interactive System for Volume Segmentation in Computer-Assisted Surgery", MEDICAL IMAGING 2004: VISUALIZATION, IMAGE-GUIDED PROCEDURES, AND DISPLAY, vol. 5367, 15 February 2004 (2004-02-15), Edited by Galloway, Robert L., Jr. Proceedings of the SPIE. SPIE, PO BOX 10 BELLINGHAM WA 98227-0010 USA, pages 799 - 809, XP040181688 *
MARCEL JACKOWSKI ET AL: "A Computer-Aided Design System for Revision of Segmentation Errors", MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MIC CAI 2005 LECTURE NOTES IN COMPUTER SCIENCE;;LNCS, SPRINGER, BERLIN, DE, vol. 3750, 1 January 2005 (2005-01-01), pages 717 - 724, XP019021824, ISBN: 978-3-540-29326-2 *
MORSE B S ET AL: "Interpolating implicit surfaces from scattered surface data using compactly supported radial basis functions", SHAPE MODELING AND APPLICATIONS, SMI 2001 INTERNATIONAL CONFERENCE ON. MAY 7-11, 2001, PISCATAWAY, NJ, USA,IEEE, 7 May 2001 (2001-05-07), pages 89 - 98, XP010541323, ISBN: 978-0-7695-0853-5 *
NAKAO MEGUMI ET AL: "Interactive 3D region extraction of volume data using deformable boundary object", STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS, I O S PRESS, AMSTERDAM, NL, vol. 111, 1 January 2005 (2005-01-01), pages 349 - 352, XP009126215, ISSN: 0926-9630 *
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103514623A (zh) * 2013-09-13 2014-01-15 上海交通大学 基于分水岭算法的两维传递函数的体数据识别方法
CN103514623B (zh) * 2013-09-13 2016-05-04 上海交通大学 基于分水岭算法的两维传递函数的体数据识别方法

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