Automated snake initialization for the segmentation of the prostate in ultrasound images

S. Rahnamayan, H. R. Tizhoosh, M. M.A. Salama

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

Abstract

Segmentation is a crucial task in medical image processing. Snakes or Active Contour Models (ACM) are valuable tools to segment images. However, they need a good initialization, which is usually provided manually by an expert. In order to achieve a reliable automation of prostate segmentation in ultrasound images, morphological techniques have been used in this work to automatically generate the initial snake. The accuracy of the proposed approach is verified by testing several images. The automated segmentation of the prostate can be done in the majority of the cases without user interaction.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages930-937
Number of pages8
DOIs
StatePublished - 2005
Event2nd International Conference on Image Analysis and Recognition, ICIAR 2005 - Toronto, Canada
Duration: Sep 28 2005Sep 30 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3656 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Conference on Image Analysis and Recognition, ICIAR 2005
Country/TerritoryCanada
CityToronto
Period9/28/059/30/05

Keywords

  • Active Contour Model
  • Initial Snake
  • Mathematical Morphology
  • Prostate
  • Seed Points
  • Ultrasound

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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