International Journal of Scientific Research and Engineering Development

Structural characterization of the normal LV apical myocardium from ECG-gated cardiac Computed Tomography (CT) image using statistical texture analysis may provide baseline information for a potential LV apical disorder marker. However, conventional statistical texture analysis on small CT image region still suffers from low resolution and noises. This study proposed edge detection with statistical texture analysis to characterize small LV apical myocardium region and compared between systole and diastole phases. Suitable images were chosen from FOURDIX file in Dicom Image Library and Region of Interest (RoI) was defined for the LV apical myocardium region. Sobel, Canny, and Laplacian of Gaussian edge detection methods were implemented to the RoIs followed by First, Second, and Higher-order statistical texture analyses. The texture features of systole and diastole phases were obtained and analyzed. The result showed that edge detection RoIs produced more consistent differentiation between systole and diastole phases compared to the original RoIs.

N.M. Salih, A. Yahya, U.U. Sheikh, "Apical Myocardium Texture Analysis In ECG-Gated Cardiac CT Images " International Journal of Scientific Research and Engineering Development, V9(2): Page(01-01) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.