A Bayesian model of shape and appearance for subcortical brain segmentation

Volume: 56, Issue: 3, Pages: 907 - 922
Published: Jun 1, 2011
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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