Interactive extraction of neural structures with user-guided morphological diffusion

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TitleInteractive extraction of neural structures with user-guided morphological diffusion
Publication TypeConference Paper
Year of Publication2012
AuthorsWan, Y, Otsuna, H, Bin Chien, C-, Hansen, C
Conference Name2012 IEEE Symposium on Biological Data Visualization (BioVis 2012)2012 IEEE Symposium on Biological Data Visualization (BioVis)
PublisherIEEE
Conference LocationSeattle, WA
ISBN Number978-1-4673-4729-7
Accession Number13175487
KeywordsData mining, Data visualization, Equations, Heating, Image segmentation, Mathematical model, Neurons
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 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.

URLhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6378577
DOI10.1109/BioVis.2012.6378577