Patent ID: 9025841
Filing Date: 2015-05-05
Classification: G06K,G06T

Abstract:
1. A method for prostate segmentation in multi-spectral 3D magnetic resonance (MR) image data, comprising: detecting a prostate boundary in the multi-spectral 3D MR image data using marginal space learning (MSL), wherein the multi-spectral 3D MR image data comprises, for each voxel of a plurality of voxels, a respective vector of intensity values representing different MR channels for that voxel; and refining the detected prostate boundary using one or more trained boundary detectors; wherein said step of detecting a prostate boundary in the multi-spectral 3D MR image data comprises, detecting prostate center position candidates using a trained position detector; detecting position-orientation candidates based on the prostate center position candidates using a trained position-orientation detector; and detecting a full similarity transformation based on the position-orientation candidates using a trained full similarity transformation detector.