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Conference Paper: Tumor boundary extraction in multislice MR brain images using region and contour deformation

TitleTumor boundary extraction in multislice MR brain images using region and contour deformation
Authors
KeywordsDeformable model
Tumor boundary
MRI sequence
Issue Date2001
PublisherIEEE.
Citation
International Workshop on Medical Imaging and Augmented Reality Proceedings, Shatin, Hong Kong, China, 10-12 June 2001, p. 183-187 How to Cite?
AbstractIn this paper, we present a new approach for the extraction of brain tumor boundary in a series of 2D MR image slices. The shape and position of tumor in one slice could be assumed to be similar to that in its neighboring slices. Using this correlation between consecutive images, the initial plan applied for each slice is extracted from the resulting boundary of the previous slice. The tumor boundary is located using region and contour deformation, which tolerates a rough initial plan. Therefore, only one coarse manual initial plan is required for the whole series of MR image slices. Performance of our approach is evaluated on MR image set. Comparisons with manual tracing show the accuracy and effectiveness of our approach.
Persistent Identifierhttp://hdl.handle.net/10722/46220
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLaw, AKWen_HK
dc.contributor.authorZhu, Hen_HK
dc.contributor.authorLam, FKen_HK
dc.contributor.authorChan, FHYen_HK
dc.contributor.authorChan, BCBen_HK
dc.contributor.authorLu, PPen_HK
dc.date.accessioned2007-10-30T06:45:05Z-
dc.date.available2007-10-30T06:45:05Z-
dc.date.issued2001en_HK
dc.identifier.citationInternational Workshop on Medical Imaging and Augmented Reality Proceedings, Shatin, Hong Kong, China, 10-12 June 2001, p. 183-187en_HK
dc.identifier.isbn0-7695-1113-9en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46220-
dc.description.abstractIn this paper, we present a new approach for the extraction of brain tumor boundary in a series of 2D MR image slices. The shape and position of tumor in one slice could be assumed to be similar to that in its neighboring slices. Using this correlation between consecutive images, the initial plan applied for each slice is extracted from the resulting boundary of the previous slice. The tumor boundary is located using region and contour deformation, which tolerates a rough initial plan. Therefore, only one coarse manual initial plan is required for the whole series of MR image slices. Performance of our approach is evaluated on MR image set. Comparisons with manual tracing show the accuracy and effectiveness of our approach.en_HK
dc.format.extent398119 bytes-
dc.format.extent13817 bytes-
dc.format.extent8841 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2001 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.subjectDeformable modelen_HK
dc.subjectTumor boundaryen_HK
dc.subjectMRI sequenceen_HK
dc.titleTumor boundary extraction in multislice MR brain images using region and contour deformationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7695-1113-9&volume=&spage=183&epage=187&date=2001&atitle=Tumor+boundary+extraction+in+multislice+MR+brain+images+using+region+and+contour+deformationen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/MIAR.2001.930283en_HK
dc.identifier.hkuros58545-

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