• DocumentCode
    1430886
  • Title

    A Normalized Framework for the Design of Feature Spaces Assessing the Left Ventricular Function

  • Author

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

  • Author_Institution
    Dept. of Comput. Sci., Univ. Autonoma de Barcelona, Bellaterra, Spain
  • Volume
    29
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    733
  • Lastpage
    745
  • 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.
  • Keywords
    biomedical MRI; cardiology; image fusion; image motion analysis; image sequences; statistical analysis; RWMA detection; TMR sequences; feature spaces; fusion; interobserver variability; left ventricle functionality; multiparametric normality models; regional wall motion abnormalities; statistical analysis; tagged magnetic resonance; Capacitive sensors; Cardiac disease; Computer vision; Gas insulated transmission lines; Magnetic field measurement; Magnetic resonance; Magnetic resonance imaging; Motion detection; Myocardium; Statistical analysis; B-splines; bull´s eye plots; left ventricle; manifold parameterization; regional wall motion abnormalities; Adult; Algorithms; Female; Heart Ventricles; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Models, Statistical; Myocardial Contraction; Observer Variation; ROC Curve; Reproducibility of Results; Sensitivity and Specificity; Ventricular Dysfunction, Left; Ventricular Function, Left;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2009.2034653
  • Filename
    5423298