Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Benign Prostatic Hyperplasia (BPH) is a non-cancerous expansion of the prostate, the progress of which can be quantified by measuring the relative volumes of the prostate’s peripheral zone and central gland. Here we describe a method of automatic segmentation of both regions of the prostate from MR images using a combination of grey-level voxel classification and 3D statistical shape modelling.

Bibliographical metadata

Original languageEnglish
Title of host publicationProceedings of Medical Image Understanding and Analysis
EditorsJames Graham, Neil Thacker, Timothy Cootes
Place of PublicationManchester, UK
PublisherBMVA Press
Pages166-170
Number of pages5
ISBN (Print)1 901727 31 6
Publication statusPublished - Jul 2006
EventMedical Image Understanding and Analysis - University of Manchester
Event duration: 4 Jul 20065 Jul 2006

Conference

ConferenceMedical Image Understanding and Analysis
CityUniversity of Manchester
Period4/07/065/07/06