Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Wang, Jiahui; Vachet, Clement; Rumple, Ashley; Gouttard, Sylvain; Ouziel, Clementine; Perrot, Emilie; Du, Guangwei; Huang, Xuemei; Styner, Martin
Title Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline
Date 2014-01-01
Description Automated segmenting and labeling of individual brain anatomical regions, in MRI are challenging, due to the issue of individual structural variability. Although atlas-based segmentation has show its potential for both tissue and structure segmentation, due to the inherent natural variability as well as disease-related changes in MR appearance, a single atlas image is often inappropriate to represent the full population of datasets processed in a given neuroimaging study. As an alternative for the case of single atlas segmentation, the use of multiple altases alongside label fusion techniques has been introduced using a set of individual "atlases" that encompasses the expected variability in the studied population.
Type Text
Publisher Frontiers Media
Volume 8
Issue 7
First Page 1
Last Page 11
Language eng
Bibliographic Citation Wang, J., Vachet, C., Rumple, A., Gouttard, S., Ouziel, C., Perrot, E., Du, G., Huang, X., Gerig, G., & Styner, M. (2014). Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline. Frontiers in Neuroinformatics, 8(7), 1-11.
Format Medium application/pdf
Format Extent 2,023,866 bytes
Identifier uspace,18542
ARK ark:/87278/s6zs65jn
Setname ir_uspace
Date Created 2014-04-11
Date Modified 2014-04-11
ID 712276
Reference URL https://collections.lib.utah.edu/ark:/87278/s6zs65jn
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