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WO2009101577A3 - Interactive selection of a region of interest and segmentation of image data - Google Patents

Interactive selection of a region of interest and segmentation of image data Download PDF

Info

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
French (fr)
Other versions
WO2009101577A2 (en
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/en
Publication of WO2009101577A3 publication Critical patent/WO2009101577A3/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
    • G06T2207/10—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

The invention relates to a system (100) for interactive definition of a region of interest in an image data space, the system (100) comprising a point unit (110) for selecting a plurality of points for defining a boundary of the region of interest on the basis of user inputs and a boundary unit (120) for determining the boundary on the basis of the plurality of points, thereby defining the region of interest, wherein the boundary unit further comprises a domain unit (122) for determining a domain space for a parameterization of the boundary, a projection unit (124) for projecting each point of the plurality of points onto the domain space and an approximation unit (126) for computing a map for mapping the domain space into the image data space, wherein values of the map are points defining the boundary of the region of interest, such that the composition of said projection and said map satisfies a condition for defining the map. Only points necessary for defining the ROI need to be selected. For a simple-shape structure of interest, or for a structure of interest which is at a fair distance from other non- interesting structures, the number of points for defining a ROI comprising said structure of interest can be quite low. For a complex-shape structure of interest, a sufficient number of points can be selected to define a ROI that comprises said structure of interest but does not comprise, for example, a view-occluding structure. The intensities of voxels comprised in the structure of interest do not affect the definition of the ROI, because the ROI is defined on the basis of the selected plurality of points and is not affected by said intensities.
PCT/IB2009/050544 2008-02-15 2009-02-10 Interactive selection of a region of interest and segmentation of image data Ceased WO2009101577A2 (en)

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 (en) 2009-08-20
WO2009101577A3 true WO2009101577A3 (en) 2010-01-28

Family

ID=40957332

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2009/050544 Ceased WO2009101577A2 (en) 2008-02-15 2009-02-10 Interactive selection of a region of interest and segmentation of image data

Country Status (1)

Country Link
WO (1) WO2009101577A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103514623A (en) * 2013-09-13 2014-01-15 上海交通大学 Volume data identification method based on watershed algorithm for two-dimensional transfer function

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 (en) * 2012-02-24 2016-12-21 キヤノン株式会社 Mesh generating apparatus, method and program
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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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 (en) * 2004-11-27 2006-06-01 Bracco Imaging S.P.A. 2d / 3d integrated contour editor
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 (en) * 2004-11-27 2006-06-01 Bracco Imaging S.P.A. 2d / 3d integrated contour editor
GB2431308A (en) * 2005-10-13 2007-04-18 Elekta Ab 3D manual segmentation by placement of constraint points

Non-Patent Citations (7)

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Title
GREG TURK, JAMES F. O'BRIEN: "Modelling with Implicit Surfaces that Interpolate", ACM TRANSACTIONS ON GRAPHICS, vol. 21, no. 4, October 2002 (2002-10-01) - October 2002 (2002-10-01), ACM, 2 PENN PLAZA, SUITE 701 - NEW YORK USA, pages 855 - 873, XP040139301 *
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 *
OPFER ROLAND, WIEMKER RAFAEL: "A new general tumor segmentation framework based on radial basis function energy minimization with a validation study on LIDC lung nodules", MEDICAL IMAGING 2007: IMAGE PROCESSING 18 FEB. 2007 SAN DIEGO, CA, USA, vol. 6512, 18 February 2007 (2007-02-18) - 20 February 2007 (2007-02-20), Proceedings of the SPIE - The International Society for Optical Engineering 2007 SPIE - The International Society for Optical Engineering USA, pages 651217-1 - 651217-10, XP002557727 *
VETTER M., NEUHAUS J., WEGNER I., SCHOEBINGER M, MEINZER H.P., WOLF I.: "Bounding-object segmentation", MEDICAL IMAGING 2005: IMAGE PROCESSING, vol. 5747, 5 May 2005 (2005-05-05), Proc. of SPIE, PO BOX 10 BELLINGHAM WA 98227-0010 USA, pages 1628 - 1634, XP040201370 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103514623A (en) * 2013-09-13 2014-01-15 上海交通大学 Volume data identification method based on watershed algorithm for two-dimensional transfer function
CN103514623B (en) * 2013-09-13 2016-05-04 上海交通大学 The volume data recognition methods of the bidimensional transfer function based on watershed algorithm

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