English

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

Quantitative Methods 2014-09-16 v1 Computer Vision and Pattern Recognition

Abstract

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.

Keywords

Cite

@article{arxiv.1409.4139,
  title  = {A feasible roadmap for developing volumetric probability atlas of localized prostate cancer},
  author = {Liang Zhao and Jianhua Xuan and Yue Wang},
  journal= {arXiv preprint arXiv:1409.4139},
  year   = {2014}
}

Comments

13 pages, 6 figures