Robust atlas-based segmentation of highly variable anatomy: Left atrium segmentation

Michal Depa, Mert R. Sabuncu, Godtfred Holmvang, Reza Nezafat, Ehud J. Schmidt, Polina Golland

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

Abstract

Automatic segmentation of the heart's left atrium offers great benefits for planning and outcome evaluation of atrial ablation procedures. However, the high anatomical variability of the left atrium presents significant challenges for atlas-guided segmentation. In this paper, we demonstrate an automatic method for left atrium segmentation using weighted voting label fusion and a variant of the demons registration algorithm adapted to handle images with different intensity distributions. We achieve accurate automatic segmentation that is robust to the high anatomical variations in the shape of the left atrium in a clinical dataset of MRA images.

Original languageEnglish (US)
Title of host publicationStatistical Atlases and Computational Models of the Heart - First Int. Workshop, STACOM 2010 and Cardiac Electrophysiological Simulation Challenge, CESC 2010 - Held in Conj. with MICCAI 2010, Proc.
Pages85-94
Number of pages10
DOIs
StatePublished - 2010
Externally publishedYes
Event1st International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2010 and Cardiac Electrophysiological Simulation Challenge, CESC 2010 - Held in Conjunction with MICCAI 2010 - Beijing, China
Duration: Sep 20 2010Sep 20 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6364 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2010 and Cardiac Electrophysiological Simulation Challenge, CESC 2010 - Held in Conjunction with MICCAI 2010
Country/TerritoryChina
CityBeijing
Period9/20/109/20/10

Keywords

  • Atlas-based segmentation
  • cardiac segmentation
  • label fusion
  • left atrium segmentation
  • non-rigid registration

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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