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A statistical volumetric model, showing the probability map of localizedprostate cancer within the host anatomical structure, has been developed from90 optically-imaged surgical specimens. This master model permits an accuratecharacterization of prostate cancer distribution patterns and an atlas-informedbiopsy sampling strategy. The model is constructed by mapping individualprostate models onto a site model, together with localized tumors. An accuratemulti-object non-rigid warping scheme is developed based on a mixture ofprincipal-axis registrations. We report our evaluation and pilot studies on theeffectiveness of the method and its application to optimizing needle biopsystrategies.

A feasible roadmap for developing volumetric probability atlas of localized prostate cancer