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Conference Paper: Brain tumor boundary detection in MR image with generalized fuzzy operator

TitleBrain tumor boundary detection in MR image with generalized fuzzy operator
Authors
KeywordsBrain tumor
non-homogeneities density
generalized fuzzy operator
Issue Date2003
PublisherIEEE.
Citation
International Conference on Image Processing Proceedings, Barcelona, Spain, 14-17 September 2003, v. 2, p. 1057-1060 How to Cite?
AbstractBoundary detection in MR image with brain tumor is an important image processing technique applied in radiology for 3D reconstruction. The nonhomogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.
Persistent Identifierhttp://hdl.handle.net/10722/46509
ISSN

 

DC FieldValueLanguage
dc.contributor.authorLeung, CCen_HK
dc.contributor.authorChen, WFen_HK
dc.contributor.authorKwok, PCKen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2007-10-30T06:51:34Z-
dc.date.available2007-10-30T06:51:34Z-
dc.date.issued2003en_HK
dc.identifier.citationInternational Conference on Image Processing Proceedings, Barcelona, Spain, 14-17 September 2003, v. 2, p. 1057-1060en_HK
dc.identifier.issn1522-4880en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46509-
dc.description.abstractBoundary detection in MR image with brain tumor is an important image processing technique applied in radiology for 3D reconstruction. The nonhomogeneities density tissue of the brain with tumor can result in achieving the inaccurate location in any boundary detection algorithms. Recently, some studies using the contour deformable model with regional base technique, the performance is insufficient to obtain the fine edge in the tumor, and the considerable error in accuracy is existed. Moreover, even in some of the normal tissue region, edge created by this method has also been encompassed. In this paper, we propose a new approach to detect the boundary of brain tumor based on the generalized fuzzy operator (GFO). One typical example is used for evaluating this method with the contour deformable model.en_HK
dc.format.extent276139 bytes-
dc.format.extent13817 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectBrain tumoren_HK
dc.subjectnon-homogeneities densityen_HK
dc.subjectgeneralized fuzzy operatoren_HK
dc.titleBrain tumor boundary detection in MR image with generalized fuzzy operatoren_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1522-4880&volume=2&spage=1057&epage=1060&date=2003&atitle=Brain+tumor+boundary+detection+in+MR+image+with+generalized+fuzzy+operatoren_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICIP.2003.1246867en_HK
dc.identifier.hkuros95137-

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