A normalized framework for the design of feature spaces assessing the left ventricular function

J. Garcia-Barnes, D. Gil, L. Badiella, A. Hernàndez-Sabaté, F. Carreras, S. Pujades, E. Martí

Research output: Contribution to journalArticleResearchpeer-review

27 Citations (Scopus)

Abstract

A through description of the left ventricle functionality requires combining complementary regional scores. A main limitation is the lack of multiparametric normality models oriented to the assessment of regional wall motion abnormalities (RWMA). This paper covers two main topics involved in RWMA assessment. We propose a general framework allowing the fusion and comparison across subjects of different regional scores. Our framework is used to explore which combination of regional scores (including 2-D motion and strains) is better suited for RWMA detection. Our statistical analysis indicates that for a proper (within interobserver variability) identification of RWMA, models should consider motion and extreme strains. © 2010 IEEE.
Original languageEnglish
Article number5423298
Pages (from-to)733-745
JournalIEEE Transactions on Medical Imaging
Volume29
DOIs
Publication statusPublished - 1 Mar 2010

Keywords

  • B-splines
  • Bull's eye plots
  • Left ventricle
  • Manifold parameterization
  • Regional wall motion abnormalities

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