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Article: Repulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks

TitleRepulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacks
Authors
Issue Date2006
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimg
Citation
Neuroimage, 2006, v. 32 n. 4, p. 1608-1620 How to Cite?
AbstractThe branching patterns of axons and dendrites are fundamental structural properties that affect the synaptic connectivity of axons. Although today three-dimensional images of fluorescently labeled processes can be obtained to study axonal branching, there are no robust methods of tracing individual axons. This paper describes a repulsive force based snake model to segment and track axonal profiles in 3D images. This new method segments all the axonal profiles in a 2D image and then uses the results obtained from that image as prior information to help segment the adjacent 2D image. In this way, the segmentation successfully connects axonal profiles over hundreds of images in a 3D image stack. Individual axons can then be extracted based on the segmentation results. The utility and performance of the method are demonstrated using 3D axonal images obtained from transgenic mice that express fluorescent protein. © 2006 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/75455
ISSN
2015 Impact Factor: 5.463
2015 SCImago Journal Rankings: 4.464
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorCai, Hen_HK
dc.contributor.authorXu, Xen_HK
dc.contributor.authorLu, Jen_HK
dc.contributor.authorLichtman, JWen_HK
dc.contributor.authorYung, SPen_HK
dc.contributor.authorWong, STCen_HK
dc.date.accessioned2010-09-06T07:11:16Z-
dc.date.available2010-09-06T07:11:16Z-
dc.date.issued2006en_HK
dc.identifier.citationNeuroimage, 2006, v. 32 n. 4, p. 1608-1620en_HK
dc.identifier.issn1053-8119en_HK
dc.identifier.urihttp://hdl.handle.net/10722/75455-
dc.description.abstractThe branching patterns of axons and dendrites are fundamental structural properties that affect the synaptic connectivity of axons. Although today three-dimensional images of fluorescently labeled processes can be obtained to study axonal branching, there are no robust methods of tracing individual axons. This paper describes a repulsive force based snake model to segment and track axonal profiles in 3D images. This new method segments all the axonal profiles in a 2D image and then uses the results obtained from that image as prior information to help segment the adjacent 2D image. In this way, the segmentation successfully connects axonal profiles over hundreds of images in a 3D image stack. Individual axons can then be extracted based on the segmentation results. The utility and performance of the method are demonstrated using 3D axonal images obtained from transgenic mice that express fluorescent protein. © 2006 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/ynimgen_HK
dc.relation.ispartofNeuroImageen_HK
dc.subject.meshAlgorithmsen_HK
dc.subject.meshAnimalsen_HK
dc.subject.meshAxons - physiologyen_HK
dc.subject.meshBrain - anatomy & histology - cytologyen_HK
dc.subject.meshImaging, Three-Dimensional - methodsen_HK
dc.subject.meshModels, Statisticalen_HK
dc.subject.meshMotor Neurons - physiologyen_HK
dc.subject.meshNeurons - physiologyen_HK
dc.subject.meshPeripheral Nervous System - cytology - physiologyen_HK
dc.titleRepulsive force based snake model to segment and track neuronal axons in 3D microscopy image stacksen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1053-8119&volume=32&spage=1608&epage=1620&date=2006&atitle=Repulsive+Force+Based+Snake+Model+to+Segment+and+Track+Neuronal+Axons+in+3D+Microscopy+Image+Stacksen_HK
dc.identifier.emailYung, SP:spyung@hkucc.hku.hken_HK
dc.identifier.authorityYung, SP=rp00838en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.neuroimage.2006.05.036en_HK
dc.identifier.pmid16861006-
dc.identifier.scopuseid_2-s2.0-33748327078en_HK
dc.identifier.hkuros128147en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-33748327078&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume32en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1608en_HK
dc.identifier.epage1620en_HK
dc.identifier.eissn1095-9572-
dc.identifier.isiWOS:000240969200010-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridCai, H=14420921700en_HK
dc.identifier.scopusauthoridXu, X=35977094300en_HK
dc.identifier.scopusauthoridLu, J=40161769000en_HK
dc.identifier.scopusauthoridLichtman, JW=7005493194en_HK
dc.identifier.scopusauthoridYung, SP=7006540951en_HK
dc.identifier.scopusauthoridWong, STC=12781047500en_HK
dc.identifier.citeulike903658-

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