Interactive extraction of neural structures with user-guided morphological diffusion

Handle URI:
http://hdl.handle.net/10754/598647
Title:
Interactive extraction of neural structures with user-guided morphological diffusion
Authors:
Yong Wan,; Otsuna, H.; Chi-Bin Chien,; Hansen, C.
Abstract:
Extracting 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.
Citation:
Yong 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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2012 IEEE Symposium on Biological Data Visualization (BioVis)
KAUST Grant Number:
KUS-C1-016-04
Issue Date:
Oct-2012
DOI:
10.1109/BioVis.2012.6378577
PubMed ID:
24999485
PubMed Central ID:
PMC4080708
Type:
Conference Paper
Sponsors:
This 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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorYong Wan,en
dc.contributor.authorOtsuna, H.en
dc.contributor.authorChi-Bin Chien,en
dc.contributor.authorHansen, C.en
dc.date.accessioned2016-02-25T13:33:45Zen
dc.date.available2016-02-25T13:33:45Zen
dc.date.issued2012-10en
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.en
dc.identifier.pmid24999485en
dc.identifier.doi10.1109/BioVis.2012.6378577en
dc.identifier.urihttp://hdl.handle.net/10754/598647en
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.en
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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectComputer Graphics [I.3.8]: Methodology And Techniquesen
dc.subjectInteraction Techniquesen
dc.subjectImage Processing And Computer Vision [I.4.6]: Segmentationen
dc.subjectRegion Growing, Partitioningen
dc.subjectLife And Medical Sciences [J.3]: Biology And Geneticsen
dc.titleInteractive extraction of neural structures with user-guided morphological diffusionen
dc.typeConference Paperen
dc.identifier.journal2012 IEEE Symposium on Biological Data Visualization (BioVis)en
dc.identifier.pmcidPMC4080708en
dc.contributor.institutionSCI Institute and the School of Computing, University of Utah.en
dc.contributor.institutionDepartment of Neurobiology and Anatomy, University of Utah.en
kaust.grant.numberKUS-C1-016-04en

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