A feasible roadmap for developing volumetric probability atlas of localized prostate cancer
This addresses the problem of optimizing needle biopsy strategies for localized prostate cancer in medical imaging, representing an incremental improvement in domain-specific applications.
The researchers developed a statistical volumetric model from 90 surgical specimens to create a probability map of localized prostate cancer distribution, enabling accurate characterization and an atlas-informed biopsy strategy.
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.