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

IEEE Trans Med Imaging. 2010 Mar;29(3):733-45. doi: 10.1109/TMI.2009.2034653.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Algorithms
  • Female
  • Heart Ventricles / physiopathology*
  • Humans
  • Magnetic Resonance Imaging / methods*
  • Male
  • Middle Aged
  • Models, Statistical
  • Myocardial Contraction / physiology
  • Observer Variation
  • ROC Curve
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Ventricular Dysfunction, Left / diagnosis
  • Ventricular Dysfunction, Left / physiopathology*
  • Ventricular Function, Left / physiology*