Automated left ventricular segmentation in cardiac MRI

Amol Pednekar, Uday Kurkure, Raja Muthupillai, Scott Flamm, Ioannis A. Kakadiaris

Research output: Contribution to journalArticlepeer-review

117 Scopus citations

Abstract

We present an automated left ventricular (LV) myocardial boundary extraction method. Automatic localization of the LV is achieved using a motion map and an expectation maximization algorithm. The myocardial region is then segmented using an intensity-based fuzzy affinity map and the myocardial contours are extracted by cost minimization through a dynamic programming approach. The results from the automated algorithm compared against the experienced radiologists using Bland and Altman analysis were found to have consistent mean bias of 7% and limits of agreement comparable to the inter-observer variability inherent in the manual method.

Original languageEnglish (US)
Article number1643412
Pages (from-to)1425-1428
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume53
Issue number7
DOIs
StatePublished - Jul 2006

Keywords

  • Ejection fraction
  • Fuzzy connectedness
  • Image segmentation
  • Left ventricle

ASJC Scopus subject areas

  • Biomedical Engineering

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