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dc.contributor.authorYong Wan,
dc.contributor.authorOtsuna, H.
dc.contributor.authorChi-Bin Chien,
dc.contributor.authorHansen, C.
dc.date.accessioned2016-02-25T13:33:45Z
dc.date.available2016-02-25T13:33:45Z
dc.date.issued2012-10
dc.identifier.citationYong Wan, Otsuna H, Chi-Bin Chien, Hansen C (2012) Interactive extraction of neural structures with user-guided morphological diffusion. 2012 IEEE Symposium on Biological Data Visualization (BioVis). Available: http://dx.doi.org/10.1109/BioVis.2012.6378577.
dc.identifier.pmid24999485
dc.identifier.doi10.1109/BioVis.2012.6378577
dc.identifier.urihttp://hdl.handle.net/10754/598647
dc.description.abstractExtracting neural structures with their fine details from confocal volumes is essential to quantitative analysis in neurobiology research. Despite the abundance of various segmentation methods and tools, for complex neural structures, both manual and semi-automatic methods are ine ective either in full 3D or when user interactions are restricted to 2D slices. Novel interaction techniques and fast algorithms are demanded by neurobiologists to interactively and intuitively extract neural structures from confocal data. In this paper, we present such an algorithm-technique combination, which lets users interactively select desired structures from visualization results instead of 2D slices. By integrating the segmentation functions with a confocal visualization tool neurobiologists can easily extract complex neural structures within their typical visualization workflow.
dc.description.sponsorshipThis publication is based on work supported by Award No.KUS-C1-016-04, made by King Abdullah University of Scienceand Technology (KAUST), DOE SciDAC:VACET, NSFOCI-0906379, NIH-1R01GM098151-01. We also wish to thankthe reviewers for their suggestions, and thank Chems Touatiof SCI for making the demo video.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectComputer Graphics [I.3.8]: Methodology And Techniques
dc.subjectInteraction Techniques
dc.subjectImage Processing And Computer Vision [I.4.6]: Segmentation
dc.subjectRegion Growing, Partitioning
dc.subjectLife And Medical Sciences [J.3]: Biology And Genetics
dc.titleInteractive extraction of neural structures with user-guided morphological diffusion
dc.typeConference Paper
dc.identifier.journal2012 IEEE Symposium on Biological Data Visualization (BioVis)
dc.identifier.pmcidPMC4080708
dc.contributor.institutionSCI Institute and the School of Computing, University of Utah.
dc.contributor.institutionDepartment of Neurobiology and Anatomy, University of Utah.
kaust.grant.numberKUS-C1-016-04


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