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Conference Paper: Segment and track neurons in 3D by repulsive snake method

TitleSegment and track neurons in 3D by repulsive snake method
Authors
Issue Date2005
PublisherIEEE.
Citation
Proceedings Of 2005 International Symposium On Intelligent Signal Processing And Communication Systems, Ispacs 2005, 2005, v. 2005, p. 529-532 How to Cite?
AbstractWe present a snake (active contour) model based on repulsive force to segment neurons obtained from microscopy. Based on these segmentation results, we track the neurons in 3D image to look for its branch structure. These segmentation results allow user to study morphology of neurons to further investigate neuronal function and connectivity. This repulsive snake model can successfully segment two or multiple neurons that are close to each other by some alternating repulsive force generated from the neighboring objects. We apply our results on real data to demonstrate the performance of our method. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/54092
References

 

DC FieldValueLanguage
dc.contributor.authorCai, Hen_HK
dc.contributor.authorXu, Xen_HK
dc.contributor.authorLu, Jen_HK
dc.contributor.authorLichtman, Jen_HK
dc.contributor.authorYung, SPen_HK
dc.contributor.authorWong, STCen_HK
dc.date.accessioned2009-04-03T07:36:33Z-
dc.date.available2009-04-03T07:36:33Z-
dc.date.issued2005en_HK
dc.identifier.citationProceedings Of 2005 International Symposium On Intelligent Signal Processing And Communication Systems, Ispacs 2005, 2005, v. 2005, p. 529-532en_HK
dc.identifier.urihttp://hdl.handle.net/10722/54092-
dc.description.abstractWe present a snake (active contour) model based on repulsive force to segment neurons obtained from microscopy. Based on these segmentation results, we track the neurons in 3D image to look for its branch structure. These segmentation results allow user to study morphology of neurons to further investigate neuronal function and connectivity. This repulsive snake model can successfully segment two or multiple neurons that are close to each other by some alternating repulsive force generated from the neighboring objects. We apply our results on real data to demonstrate the performance of our method. © 2005 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of 2005 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2005en_HK
dc.rights©2005 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleSegment and track neurons in 3D by repulsive snake methoden_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYung, SP:spyung@hkucc.hku.hken_HK
dc.identifier.authorityYung, SP=rp00838en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.scopuseid_2-s2.0-33847199738en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33847199738&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2005en_HK
dc.identifier.spage529en_HK
dc.identifier.epage532en_HK
dc.identifier.scopusauthoridCai, H=14420921700en_HK
dc.identifier.scopusauthoridXu, X=7405293993en_HK
dc.identifier.scopusauthoridLu, J=14421449500en_HK
dc.identifier.scopusauthoridLichtman, J=7005493194en_HK
dc.identifier.scopusauthoridYung, SP=7006540951en_HK
dc.identifier.scopusauthoridWong, STC=12781047500en_HK

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