A Generative Model for Brain Tumor Segmentation in

Authors: Bjoern H Menze Koen van Leemput Danial Lashkari MarcAndré Weber Nicholas Ayache Polina Golland

Publish Date: 2010/9/20

Volume: , Issue: , Pages: 151-159

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Abstract

We introduce a generative probabilistic model for segmentation of tumors in multidimensional images The model allows for different tumor boundaries in each channel reflecting difference in tumor appearance across modalities We augment a probabilistic atlas of healthy tissue priors with a latent atlas of the lesion and derive the estimation algorithm to extract tumor boundaries and the latent atlas from the image data We present experiments on 25 glioma patient data sets demonstrating significant improvement over the traditional multivariate tumor segmentation

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