Segmentation of the prostate boundary on clinical images is useful in a large number of applications including calculation of prostate volume pre and post-treatment, to detect extra-capsular spread, and for creating patient-specific anatomical models. Manual segmentation of the prostate boundary is, however, time consuming and subject to inter- and intra-reader variability. T2-weighted (T2-w) magnetic resonance (MR) structural imaging (MRI) and MR spectroscopy (MRS) have recently emerged as promising modalities for detection of prostate cancer in vivo.

Kalyanpur A, Toth R, Tiwari P, Rosen M, Reed G, Kurhanewicz J, Pungavkar S, and Madabhushi A. A Magnetic Resonance Spectroscopy Driven Initialization Scheme for Active Shape Model Based Prostate Segmentation. Medical Image Analysis (MedIA) journal. 2010 October.