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

James Graham (Editor), Neil Thacker (Editor), Timothy Cootes (Editor)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.
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
Duration: 4 Jul 20065 Jul 2006

Conference

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

Fingerprint

Dive into the research topics of 'Prostate Segmentation in MR Images using 3D Shape Model Constratined Voxel Classificattion'. Together they form a unique fingerprint.

Cite this