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2011

Segmenting the prostate and rectum in CT imagery using anatomical constraints

8 years 5 months ago
Segmenting the prostate and rectum in CT imagery using anatomical constraints
The automatic segmentation of the prostate and rectum from 3-D computed tomography (CT) images is still a challenging problem, and is critical for image-guided therapy applications. We present a new, automatic segmentation algorithm based on deformable organ models built from previously segmented training data. The major contributions of this work are a new segmentation cost function based on a Bayesian framework that incorporates anatomical constraints from surrounding bones and a new appearance model that learns a nonparametric distribution of the intensity histograms inside and outside organ contours. We report segmentation results on 185 datasets of the prostate site, demonstrating improved performance over previous models.
Siqi Chen, D. Michael Lovelock, Richard J. Radke
Added 14 May 2011
Updated 14 May 2011
Type Journal
Year 2011
Where MIA
Authors Siqi Chen, D. Michael Lovelock, Richard J. Radke
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