Title :
Measuring the degree of fibrosity of myocardial scars from late gadolinium-enhanced cardiovascular magnetic resonance images
Author :
Maloy, F. ; Woie, L. ; Eftestol, T. ; Engan, K. ; Orn, S.
Author_Institution :
Fac. of Sci. & Technol., Univ. of Stavanger, Stavanger, Norway
Abstract :
We seek to define and measure the degree of fibrosity of the scars in myocardial infarction (MI) patients, and to see if it helps in separating a group of MI patients who have had episodes of ventricular tachycardia (VT) after the infarction from a group of MI patients who have not. Late gadolinium-enhanced cardiovascular magnetic resonance images of 20 MI patients with VT and 34 without were taken, and the scars demarcated by cardiologists. Various fibrosity measures were defined through weighting the normalised signal intensity distributions of the scars. The fibrosity measures were used as input to a classifier together with the left ventricular ejection fraction (LVEF) and the relative scar size. The classification problem being separating the two patient groups and done in a leave-one-out fashion. At a sensitivity of 90%, combining the best fibrosity measure with LVEF gave a specificity of 91% (with 95% confidence interval (CI) 76-98%), whereas LVEF combined with relative scar size yielded 85% (CI: 6994%) and LVEF alone 82% (CI: 66-92%). Capturing the degree of fibrosity of myocardial scars through weighting the scars´ normalised signal intensity distributions might be of assistance in evaluating the risk of MI patients getting VT.
Keywords :
biomedical MRI; cardiovascular system; gadolinium; image classification; medical disorders; medical image processing; muscle; LVEF; VT; cardiologists; classification problem; classifier; confidence interval; fibrosity measures; late gadolinium-enhanced cardiovascular magnetic resonance images; leave-one-out method; left ventricular ejection fraction; myocardial infarction patients; myocardial scar fibrosity degree; relative scar size; scar normalised signal intensity distributions; ventricular tachycardia; Abstracts; Lead; Magnetic resonance imaging; Magnetic separation; Myocardium; Size measurement; Weight measurement;
Conference_Titel :
Computing in Cardiology Conference (CinC), 2013
Conference_Location :
Zaragoza
Print_ISBN :
978-1-4799-0884-4