SEGMENTATION OF 2D MYOCARDIAL PERFUSION SPECT IMAGES

Year 2019, Volume: 20 Issue: 4, 524 - 531, 30.12.2019

Selcan Kaplan Berkaya , Gulnihal Hale Kurt İlknur Ak Sıvrıkoz , Serkan Gunal

https://doi.org/10.18038/estubtda.581811

Abstract

Myocardial perfusion imaging (MPI) is
a widely used and non-invasive diagnostic method for the detection of patients
with suspected or known ischemic heart disease. MPI test is commonly realized
by single photon emission computed tomography (SPECT). This test provides
several images illustrating the function of the heart muscle. Appropriate
segmentation of those images play a crucial role for the diagnosis of heart
disease. Consequently, this paper proposes a segmentation method for 2D myocardial
perfusion SPECT images acquired in both stress and rest cases. In this way, an
expert can make visual assessment of the changes in the stress and rest images
easily. Hence, possible heart diseases would be identified based on those
changes without a need of using polar maps or reference databases.

Keywords

myocardial perfusion imaging, SPECT, coronary artery disease, segmentation, image processing

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