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. Author manuscript; available in PMC: 2011 Mar 8.
Published in final edited form as: Med Image Comput Comput Assist Interv. 2010;13(Pt 2):151–159. doi: 10.1007/978-3-642-15745-5_19

Fig. 1.

Fig. 1

Graphical model for the proposed segmentation approach. Voxels are indexed with i, the channels are indexed with c. The known prior πk determines the label k of the normal, healthy tissue. The latent atlas α determines the channel-specific presence of tumor t. Normal state k, tumor state t, and intensity distribution parameters θ jointly determine the multi-modal image observations y. Observed (known) quantities are shaded. The tumor segmentation aims to estimate p(tic∣y), along with the segmentation of healthy tissue p(ki|y).