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

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. References and links 1. B. Turkbey and P. L. Choyke, "Multiparametric MRI and prostate cancer diagnosis and risk stratification," Current opinion in urology 22, 310-315 (2012). 2. S. Madhavan, Y. Gusev, M. Harris, D. M. Tanenbaum, R. Gauba, K. Bhuvaneshwar, A. Shinohara, K. Rosso, L. A. Carabet, L. Song, R. B. Riggins, S. Dakshanamurthy, Y. Wang, S. W. Byers, R. Clarke, and L. M. Weiner, "G-DOC: a systems medicine platform for personalized oncology," Neoplasia 13, 771-783 (2011). 3. C. Wang and A. T. Yeh, "Two-photon excited fluorescence enhancement with broadband versus tunable femtosecond laser pulse excitation," Journal of biomedical optics 17, 025003 (2012). 4. Y. Wang, K. Woods, and M. McClain, "Information-theoretic matching of two point sets," IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 11, 868-872 (2002). 5. J. Xuan, I. A. Sesterhenn, W. S. Hayes, Y. Wang, T. Adali, Y. Yagi, M. T. Freedman, and S. K. Mun, "Surface reconstruction and visualization of the surgical prostate model," in Medical Imaging, (SPIE, 1997), 6. Y. Wang, S. H. Lin, H. Li, and S. Y. Kung, "Data mapping by probabilistic modular networks and information theoretic criteria " IEEE Trans. Signal Processing 46, 3378-3397 (1998). 7. J. Xuan, Y. Wang, I. A. Sesterhenn, J. W. Moul, and S. K. Mun, "3-D model supported prostate biopsy simulation and evaluation," in Medical Image Computing and Computer-Assisted Interventation, Lecture Notes in Computer Science (Springer, 1998), 358-367. 8. W. Cong, F. Liu, C. Wang, and G. Wang, "X-ray micro-modulated luminescence tomography (XMLT)," Optics express 22, 5572-5580 (2014). 9. W. Cong, C. Wang, and G. Wang, "Stored Luminescence Computed Tomography," Applied Optics 53, 56725676 (2014).