Counter-Driven Regression for Label Inference in Atlas-Based Segmentation

Counter-Driven Regression for Label Inference in Atlas-Based Segmentation

We present a novel method for inferring tissue labels in atlas-based image segmentation using Gaussian process regression. Atlas-based segmentation results in probabilistic label maps that serve as input to our method. We introduce a contour-driven prior distribution over label maps to incorporate i...

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Bibliographic Details
Main Authors: Wachinger, Christian (Contributor), Sharp, Gregory C. (Author), Golland, Polina (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Springer-Verlag, 2014-04-17T13:57:28Z.
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