Automatic myocardium segmentation in late-enhancement MRI

C. Ciofolo, M. Fradkin, B. Mory, G. Hautvast, M. Breeuwer

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

45 Citations (Scopus)

Abstract

We propose a novel automatic method to segment the myocardium on late-enhancement cardiac MR (LE CMR) images with a multi-step approach. First, in each slice of the LE CMR volume, a geometrical template is deformed so that its borders fit the myocardial contours. The second step consists in introducing a shape prior of the left ventricle. To do so, we use the cine MR sequence that is acquired along with the LE CMR volume. As the myocardial contours can be more easily automatically obtained on this data, they are used to build a 3D mesh representing the left ventricle geometry and the underlying myocardium thickness. This mesh is registered towards the contours obtained with the geometrical template, then locally adjusted to guarantee that scars are included inside the final segmentation. The quantitative evaluation on 27 volumes (272 slices) shows robust and accurate results.

Original languageEnglish
Title of host publication2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008). Proceedings, May 14-17, 2008, Paris, France
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages225-228
Number of pages4
ISBN (Print)9781424420032
DOIs
Publication statusPublished - 2008
Event5th IEEE International Symposium on Biomedical Imaging (ISBI 2008) - Paris Marriott Rive Gauche Hotel & Conference Center, Paris, France
Duration: 14 May 200817 May 2008
Conference number: 5

Conference

Conference5th IEEE International Symposium on Biomedical Imaging (ISBI 2008)
Abbreviated titleISBI 2008
CountryFrance
CityParis
Period14/05/0817/05/08
OtherFrom Nano to Macro

Keywords

  • Automation
  • Cardiovascular system
  • Image segmentation
  • Late-enhancement
  • Magnetic resonance imaging

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