Publication Type |
pre-print |
School or College |
College of Engineering |
Department |
Computing, School of |
Creator |
Wan, Yong |
Other Author |
Otsuna, Hideo; Chien, Chi-Bin; Hansen, Charles |
Title |
Interactive extraction of neural structures with user-guided morphological diffusion |
Date |
2012-01-01 |
Description |
Extracting neural structures with their fine details fromconfocal 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 ineffective 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. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
Issue |
6378577 |
First Page |
1 |
Last Page |
8 |
Dissertation Institution |
University of Utah |
Language |
eng |
Bibliographic Citation |
Wan, Y., Otsuna, H., Chien, C.-B., & Hansen, C. (2012). Interactive extraction of neural structures with user-guided morphological diffusion. IEEE Symposium on Biological Data Visualization 2012, BioVis 2012 - Proceedings, no. 6378577, 1-8. |
Rights Management |
(c)2012 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. |
Format Medium |
application/pdf |
Format Extent |
1,709,380 bytes |
Identifier |
uspace,18172 |
ARK |
ark:/87278/s6m33djd |
Setname |
ir_uspace |
ID |
708308 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6m33djd |