A supervoxel-based segmentation method for prostate MR images.

ABSTRACT:

Purpose

Segmentation of the prostate on MR images has many applications in prostate cancer management. In this work, we propose a supervoxel-based segmentation method for prostate MR images.

Methods

A supervoxel is a set of pixels that have similar intensities, locations, and textures in a 3D image volume. The prostate segmentation problem is considered as assigning a binary label to each supervoxel, which is either the prostate or background. A supervoxel-based energy function with data and smoothness terms is used to model the label. The data term estimates the likelihood of a supervoxel belonging to the prostate by using a supervoxel-based shape feature. The geometric relationship between two neighboring supervoxels is used to build the smoothness term. The 3D graph cut i

SUBMITTER: Tian Z 

PROVIDER: S-EPMC5540668 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature