PVC: MAP Classification

The MAP classification step iterates to find a solution to the maximum a posteriori classifier that incorporates the partial volume measurement model with the spatial prior.

Parameters

Spatial Prior
The spatial prior can be adjusted to reduce its influence, which can be useful if the image has low signal-to-noise. Larger values will produce smoother contours in the tissue classification. If the value is too large, then the regions will be too smooth and the contours will not reflect the anatomy.

Example Result