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dc.contributor.authorMelonakos, John
dc.contributor.authorKubicki, Marek
dc.contributor.authorNiethammer, Marc
dc.contributor.authorMiller, James V.
dc.contributor.authorTannenbaum, Allen R.
dc.date.accessioned2009-09-24T18:43:08Z
dc.date.available2009-09-24T18:43:08Z
dc.date.issued2007-10
dc.identifier.citationMelonakos, J., Niethammer, M., Mohan, V., Kubicki, M., Miller, J. V., and Tannenbaum, A., "Locally-Constrained Region-Based Methods for DW-MRI Segmentation," Mathematical Methods in Biomedical Image Analysis (MMBIA) 2007 workshop held in conjunction with the Eleventh IEEE International Conference on Computer Vision, October 2007, 1-8en
dc.identifier.isbn978-1-4244-1631-8
dc.identifier.issn1550-5499
dc.identifier.urihttp://hdl.handle.net/1853/30210
dc.description©2007 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 distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en
dc.descriptionDOI: 10.1109/ICCV.2007.4409167
dc.descriptionPresented at the Mathematical Methods in Biomedical Image Analysis (MMBIA) 2007 workshop held in conjunction with ICCV 2007.
dc.description.abstractIn this paper, we describe a method for segmenting fiber bundles from diffusion-weighted magnetic resonance images using a locally-constrained region based approach. From a pre-computed optimal path, the algorithm propagates outward capturing only those voxels which are locally connected to the fiber bundle. Rather than attempting to find large numbers of open curves or single fibers, which individually have questionable meaning, this method segments the full fiber bundle region. The strengths of this approach include its ease-of-use, computational speed, and applicability to a wide range of fiber bundles. In this work, we show results for segmenting the cingulum bundle. Finally, we explain how this approach and extensions thereto overcome a major problem that typical region-based flows experience when attempting to segment neural fiber bundles.en
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.subjectBiomedical MRIen
dc.subjectBrainen
dc.subjectImage segmentationen
dc.subjectMedical image processingen
dc.titleLocally-Constrained Region-Based Methods for DW-MRI Segmentationen
dc.typeProceedingsen
dc.contributor.corporatenameGeorgia Institute of Technology
dc.contributor.corporatenameHarvard Medical School
dc.contributor.corporatenameGE Global Research
dc.publisher.originalInstitute of Electrical and Electronics Engineers


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