A Bayesian model of shape and appearance for subcortical brain segmentation
Abstract
Automatic segmentation of subcortical structures in human brain MR images is an important but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity features are absent in many places along typical structure boundaries and so extra information is required to achieve successful segmentation. A method is proposed here that uses manually labelled image data to provide anatomical training information. It utilises...
Paper Details
Title
A Bayesian model of shape and appearance for subcortical brain segmentation
Published Date
Jun 1, 2011
Journal
Volume
56
Issue
3
Pages
907 - 922
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