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

• Published in: IEEE transactions on medical imaging Vol. 29; no. 3; pp. 733 - 745
• Main Authors: Garcia-Barnes, J., Gil, D., Badiella, L., Hernandez-Sabate, A., Carreras, F., Pujades, S., Marti, E.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2010; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; B-splines; bull's eye plots; Capacitive sensors; Cardiac disease; Computer vision; Female; Gas insulated transmission lines; Heart Ventricles - physiopathology; Humans; left ventricle; Magnetic field measurement; Magnetic resonance; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; manifold parameterization; Middle Aged; Models, Statistical; Motion detection; Myocardial Contraction - physiology; Myocardium; Observer Variation; regional wall motion abnormalities; Reproducibility of Results; ROC Curve; Sensitivity and Specificity; Statistical analysis; Ventricular Dysfunction, Left - diagnosis; Ventricular Dysfunction, Left - physiopathology; Ventricular Function, Left - physiology
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2009.2034653

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.