There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 1514 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 1505 | - |
dc.citation.title | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS | - |
dc.citation.volume | 15 | - |
dc.contributor.author | Jeong, Won-Ki | - |
dc.contributor.author | Beyer, Johanna | - |
dc.contributor.author | Hadwiger, Markus | - |
dc.contributor.author | Vazquez, Amelio | - |
dc.contributor.author | Pfister, Hanspeter | - |
dc.contributor.author | Whitaker, Ross T. | - |
dc.date.accessioned | 2023-12-22T07:38:10Z | - |
dc.date.available | 2023-12-22T07:38:10Z | - |
dc.date.created | 2014-10-29 | - |
dc.date.issued | 2009-11 | - |
dc.description.abstract | Recent advances in scanning technology provide high resolution EM (Electron Microscopy) datasets that allow neuroscientists to reconstruct complex neural connections in a nervous system. However, due to the enormous size and complexity of the resulting data, segmentation and visualization of neural processes in EM data is usually a difficult and very time-consuming task. In this paper, we present NeuroTrace, a novel EM volume segmentation and visualization system that consists of two parts: a semi-automatic multiphase level set segmentation with 3D tracking for reconstruction of neural processes, and a specialized volume rendering approach for visualization of EM volumes. It employs view-dependent on-demand filtering and evaluation of a local histogram edge metric, as well as on-the-fly interpolation and ray-casting of implicit surfaces for segmented neural structures. Both methods are implemented on the GPU for interactive performance. NeuroTrace is designed to be scalable to large datasets and data-parallel hardware architectures. A comparison of NeuroTrace with a commonly used manual EM segmentation tool shows that our interactive workflow is faster and easier to use for the reconstruction of complex neural processes. | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v.15, no.6, pp.1505 - 1514 | - |
dc.identifier.doi | 10.1109/TVCG.2009.178 | - |
dc.identifier.issn | 1077-2626 | - |
dc.identifier.scopusid | 2-s2.0-70350630741 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/8002 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=70350630741 | - |
dc.identifier.wosid | 000270778900083 | - |
dc.language | 영어 | - |
dc.publisher | IEEE COMPUTER SOC | - |
dc.title | Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets | - |
dc.type | Article | - |
dc.description.journalRegisteredClass | scopus | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.