Detection Of Myocardial Perfusion Defects Using First Pass Perfusion Cardiac Mri Data

Stephen Kruzick,Ole J. Mengshoel,Prahlad G. Menon

Computational Modeling of Objects Presented in Images: Fundamentals, Methods, and Applications（2014）

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摘要

First pass perfusion cardiac magnetic resonance imaging (FPP-CMR) presents a non-invasive method of detecting restricted blood flow to the myocardium, heart muscle tissue, early in development of coronary heart disease. This paper proposes simple classification methods applied to FPP-CMR data to detect regions of poor perfusion. Preliminary results show correspondence to regions of scar tissue detected from thresholding of late Gadolinium enhancement CMR imaging.

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关键词

cardiac magnetic resonance imaging, coronary heart disease, classification, Dice index, Gaussian naive Bayes, myocardium, perfusion

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