Semi-automatic segmentation of the prostate

Reyer Zwiggelaar, Yanong Zhu, Stuart Williams

Research output: Chapter in Book/Report/Conference proceedingChapter

38 Citations (Scopus)

Abstract

A semi-automatic method has been developed which segments the prostate in slices of Magnetic Resonance Imaging (MRI) data. The developed approach exploits the characteristics of the anatomical shape of the prostate when represented in a polar transform space. Simple techniques, such as line detection and non-maximum suppression, are used to track the boundary of the prostate. The initial results, based on a small set of data, indicate a good correlation with expert based manual segmentation.
Original languageEnglish
Title of host publicationPattern Recognition and Image Analysis
EditorsFrancisco José Perales, Aurélio J. C. Campilho, Nicolás Pérez de la Blanca, Alberto Sanfeliu
PublisherSpringer Berlin / Heidelberg
Pages1108-1116
Number of pages9
Volume2652
ISBN (Print)978-3-540-40217-6
DOIs
Publication statusPublished - 2003
EventFirst Iberian Conference, IbPRIA 2003 - Puerto de Andratx, Mallorca, Spain
Duration: 4 Jun 20036 Jun 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg

Conference

ConferenceFirst Iberian Conference, IbPRIA 2003
Country/TerritorySpain
CityPuerto de Andratx, Mallorca
Period4/06/036/06/03

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