  A statistical volumetric model, showing the probability map of localized
prostate cancer within the host anatomical structure, has been developed from
90 optically-imaged surgical specimens. This master model permits an accurate
characterization of prostate cancer distribution patterns and an atlas-informed
biopsy sampling strategy. The model is constructed by mapping individual
prostate models onto a site model, together with localized tumors. An accurate
multi-object non-rigid warping scheme is developed based on a mixture of
principal-axis registrations. We report our evaluation and pilot studies on the
effectiveness of the method and its application to optimizing needle biopsy
strategies.
