Myocardial segmentation using constrained multi-seeded region growing

Mustafa A. Alattar, Nael F. Osman, Ahmed S. Fahmy

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

Abstract

Multi-slice short-axis acquisitions of the left ventricle are fundamental for estimating the volume and mass of the left ventricle in cardiac MRI scans. Manual segmentation of the myocardium in all time frames per each cross-section is a cumbersome task. Therefore, automatic myocardium segmentation methods are essential for cardiac functional analysis. Region growing has been proposed to segment the myocardium. Although the technique is simple and fast, non uniform intensity and low-contrast interfaces of the myocardium are major challenges of the technique that limit its use in myocardial segmentation. In this work, we propose a modified region growing technique that ensures reliable and fast myocardial segmentation of short-axis images. The proposed technique initializes the region growing process using different seed points. Then two types of spatial constraints are used to guarantee fast and accurate segmentation. The technique has been tested and validated quantitatively using a large number of images of different qualities. The results confirm the reliability and accuracy of the proposed technique.

Original languageEnglish (US)
Title of host publicationImage Analysis and Recognition - 7th International Conference, ICIAR 2010, Proceedings
Pages89-98
Number of pages10
EditionPART 2
DOIs
StatePublished - Aug 13 2010
Event7th International Conference on Image Analysis and Recognition, ICIAR 2010 - Povoa de Varzim, Portugal
Duration: Jun 21 2010Jun 23 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6112 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Image Analysis and Recognition, ICIAR 2010
CountryPortugal
CityPovoa de Varzim
Period6/21/106/23/10

Keywords

  • Cardiac MRI
  • Left Ventricle
  • Region Growing
  • Segmentation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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