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Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set

  • M. Muthulakshmi
  • G. Kavitha
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 490)

Abstract

In this research work, cardiac magnetic resonance (CMR) images are analyzed to study the pathophysiology of myocardial ischemia (MI). It is a cardiac disorder that causes irreversible damage to heart muscles. The images considered for this study are obtained from medical image computing and computer-assisted intervention (MICCAI) database. Adaptive fuzzy-based multiphase level set method is utilized to extract endocardium and epicardium of left ventricle from short-axis view of CMR images. The segmentation results are validated with similarity measures such as Dice coefficient and Jaccard index. Further, five indices are derived from the segmentation results. The obtained results provide average Dice coefficient for endocardium and epicardium as 0.867 and 0.918, respectively. The mean Jaccard index for epicardium and endocardium is 0.855 and 0.766, respectively. It is observed that the proposed method segments the left ventricle more precisely from CMR images. The ischemic subjects show a reduced mean ejection fraction (32.52) compared to the normal subjects (59.04). The average stroke volume is found to be 70.16 and 64.05 ml for healthy subjects and ischemic subjects, respectively. Reduction in stroke volume and ejection fraction for ischemic subjects indicates lower quantity of blood drained by heart. It is also observed that there is an increase in myocardial mass for ischemic subjects (182.11 g) compared to healthy subjects (127.47 g). The thickened heart muscle contributes to the increased myocardial mass in abnormal subjects. Further, ischemic subjects show an increase in endocardium volume at end-diastolic and end-systolic phase when compared to normal subjects. Thus, the clinical indices evaluated from adaptive fuzzy-based multiphase level set method could differentiate the normal and ischemic subjects. Hence, this study can be a useful supplement in diagnosis of myocardial ischemic disorder.

Keywords

Ischemia Cardiac magnetic resonance images Multiphase level set Adaptive fuzzy Left ventricle 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Electronics EngineeringMIT Campus, Anna UniversityChennaiIndia

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