WO2000065985A3 - Method and system for knowledge guided hyperintensity detection and volumetric measurement - Google Patents

Method and system for knowledge guided hyperintensity detection and volumetric measurement Download PDF

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Publication number
WO2000065985A3
WO2000065985A3 PCT/US2000/011457 US0011457W WO0065985A3 WO 2000065985 A3 WO2000065985 A3 WO 2000065985A3 US 0011457 W US0011457 W US 0011457W WO 0065985 A3 WO0065985 A3 WO 0065985A3
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WO
WIPO (PCT)
Prior art keywords
processor
brain
masked
pixel intensities
images
Prior art date
Application number
PCT/US2000/011457
Other languages
French (fr)
Other versions
WO2000065985A2 (en
WO2000065985A9 (en
Inventor
Karen M Gosche
Original Assignee
Univ South Florida
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 Univ South Florida filed Critical Univ South Florida
Priority to AU46752/00A priority Critical patent/AU4675200A/en
Publication of WO2000065985A2 publication Critical patent/WO2000065985A2/en
Publication of WO2000065985A3 publication Critical patent/WO2000065985A3/en
Publication of WO2000065985A9 publication Critical patent/WO2000065985A9/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/11—Region-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/10088—Magnetic resonance imaging [MRI]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06T2207/30016—Brain

Abstract

An automated method and/or system for identifying suspected lesions in a brain is provided. A processor (a) provides a magnetic resonance image (MRI) of a patient's head, including a plurality of slices of the patient's head, which MRI comprises a multispectral data set that can be displayed as an image of varying pixel intensities. The processor (b) identifies a brain area within each slice to provide a plurality of masked images of intracranial tissue. The processor (c) applies a segmentation technique to at least one of the masked images to classify the varying pixel intensities into separate groupings, which potentially correspond to different tissue types. The processor (d) refines the initial segmentation into the separate groupings of at least the first masked image obtained from step (c) using one or more knowledge rules that combine pixel intensities with spatial relationships of anatomical structures to locate one or more anatomical regions of the brain. The processor (e) identifies, if present, the one or more anatomical regions of the brain located in step (d) in other masked images obtained from step (c). The processor (f) further refines the resulting knowlegde rule-refined images from steps (d) and (e) to locate suspected lesions in the brain.
PCT/US2000/011457 1999-04-29 2000-05-01 Method and system for knowledge guided hyperintensity detection and volumetric measurement WO2000065985A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
AU46752/00A AU4675200A (en) 1999-04-29 2000-05-01 Method and system for knowledge guided hyperintensity detection and volumetric measurement

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US13159099P 1999-04-29 1999-04-29
US60/131,590 1999-04-29
US19882500P 2000-04-21 2000-04-21
US60/198,825 2000-04-21

Publications (3)

Publication Number Publication Date
WO2000065985A2 WO2000065985A2 (en) 2000-11-09
WO2000065985A3 true WO2000065985A3 (en) 2001-02-01
WO2000065985A9 WO2000065985A9 (en) 2002-07-11

Family

ID=26829611

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2000/011457 WO2000065985A2 (en) 1999-04-29 2000-05-01 Method and system for knowledge guided hyperintensity detection and volumetric measurement

Country Status (2)

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AU (1) AU4675200A (en)
WO (1) WO2000065985A2 (en)

Families Citing this family (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2002093450A1 (en) * 2001-05-16 2002-11-21 Cellavision Ab Information processing for distinguishing an object
US7889895B2 (en) 2003-12-12 2011-02-15 Agency For Science, Technology And Research Method and apparatus for identifying pathology in brain images
DE102005058095A1 (en) 2005-12-05 2007-06-06 Forschungszentrum Jülich GmbH Method for the topographic representation of changes in a studied brain
JP2011509141A (en) * 2008-01-10 2011-03-24 エージェンシー フォー サイエンス，テクノロジー アンド リサーチ Discrimination between infarctions and artifacts in MRI scan data
CN103077298B (en) * 2012-10-24 2015-09-30 西安电子科技大学 The brain network construction method that fused images voxel and priori brain map divide
US9867566B2 (en) 2014-11-21 2018-01-16 The Trustees Of Columbia University In The City Of New York Technologies for white matter hyperintensity quantification
TWI536969B (en) 2015-01-05 2016-06-11 國立中央大學 White matter hyperintensities region of magnetic resonance imaging recognizing method and system
CN106204600A (en) * 2016-07-07 2016-12-07 广东技术师范学院 Cerebral tumor image partition method based on multisequencing MR image related information
CN109903278B (en) * 2019-02-25 2020-10-27 南京工程学院 Ultrasonic breast tumor morphological quantitative feature extraction method based on shape histogram
CN111968130B (en) * 2020-07-23 2023-08-04 沈阳东软智能医疗科技研究院有限公司 Brain contrast image processing method, device, medium and electronic equipment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1996042070A1 (en) * 1995-06-13 1996-12-27 British Technology Group Limited Apparatus for image enhancement, and related method
US5812691A (en) * 1995-02-24 1998-09-22 Udupa; Jayaram K. Extraction of fuzzy object information in multidimensional images for quantifying MS lesions of the brain

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5163131A (en) 1989-09-08 1992-11-10 Auspex Systems, Inc. Parallel i/o network file server architecture

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5812691A (en) * 1995-02-24 1998-09-22 Udupa; Jayaram K. Extraction of fuzzy object information in multidimensional images for quantifying MS lesions of the brain
WO1996042070A1 (en) * 1995-06-13 1996-12-27 British Technology Group Limited Apparatus for image enhancement, and related method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
CHUNLIN LI ET AL: "Knowledge-based classification and tissue labeling of MR images of human brain", IEEE TRANSACTIONS ON MEDICAL IMAGING, DEC. 1993, USA, vol. 12, no. 4, pages 740 - 750, XP002150301, ISSN: 0278-0062 *
REDDICK W E ET AL: "AUTOMATED SEGMENTATION AND CLASSIFICATION OF MULTISPECTRAL MAGNETIC RESONANCE IMAGES OF BRAIN USING ARTIFICIAL NEURAL NETWORKS", IEEE TRANSACTIONS ON MEDICAL IMAGING,US,IEEE INC. NEW YORK, vol. 16, no. 6, 1 December 1997 (1997-12-01), pages 911 - 918, XP000738203, ISSN: 0278-0062 *
WORTH A J ET AL: "Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms", IEEE TRANSACTIONS ON MEDICAL IMAGING, APRIL 1998, IEEE, USA, vol. 17, no. 2, pages 303 - 310, XP002150022, ISSN: 0278-0062 *

Also Published As

Publication number Publication date
AU4675200A (en) 2000-11-17
WO2000065985A2 (en) 2000-11-09
WO2000065985A9 (en) 2002-07-11

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