Multi-Atlas Label Propagation with Atlas Encoding by Randomized Forests

Darko Zikic, Ben Glocker, and Antonio Criminisi

Abstract

We describe our submission to the MICCAI 2013 SATA Challenge. The method is based on multi-atlas based label propagation, its major characteristic being that is uses the concept of an atlas forest to represent an atlas. This results in an efficient scheme, which requires only a single registration to label a target. Fusion of the probabilistic label proposals from each atlas is done by averaging across atlases. Results are submitted for the unregistered Diencephalon data set.

Details

Publication typeInproceedings
Published inMICCAI 2013 Challenge Workshop on Segmentation: Algorithms, Theory and Applications (SATA) (Special "Left Field" Award)
PublisherSpringer
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