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A left ventricle model to predict post-revascularization ejection fraction based on cine magnetic resonance images
Hai-Chao Han1, John N Oshinski, David N Ku
1School of Mechanical Engineering, Georgia Institute of Technology, Atlanta 30332-0405, USA. haichao.han@me.gatech.edu
Abstract:
The left ventricular ejection fraction (LVEF) is an important clinical indicator of the cardiac function and long-term outcome for patients with coronary artery disease. A biomechanical model of the left ventricle was developed to quantitatively predict post-revascularization LVEF based on noninvasive magnetic resonance imaging. The myocardium was categorized into normal, hibernating, and infarcted regions from the ventricular short-axis images. Assuming that hibernating tissue would potentially regain contractility after revascularization, the expected maximum post-revascularization LVEF was calculated for four patients with chronic left ventricular dysfunction. The predictions were within three ejection fraction points of the follow-up LVEFs. This model may be useful to estimate the outcome and efficacy of revascularization plans.