الفهرس 
Title : Quantitative estimates of Myocardial Perfusion and Function in a new Mathematical Phantom
ContentsOnly 14 pages are availabe for public view
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Abstract
This work aimed to develop a mathematical digital cardiac phantom to mimic gated myocardial perfusion single photon emission computed tomography (SPECT) images. A software code package was developed to construct a cardiac digital phantom based on mathematical ellipsoidal model utilizing libraries of python programing language. An ellipsoidal mathematical model was adopted to create the left ventricle geometrical volume including myocardial boundaries, left ventricular cavity, with incorporation of myocardial wall thickening and motion. The python libraries numpy, scipy, pydicom, matplotlib, openCV, PIL and others were utilized in writing the phantom code. True patient studies were used to understand the kinetic changes of heart motion and derive model parameters to mimic the volume-A combination of different levels of defect extent and severity were precisely modeled taking into consideration defect size variation during cardiac contraction. Wall thickening was also modeled taking into account the effect of partial volume. It has been successful to build a python software code able to model gated myocardial perfusion SPECT images with variable left ventricular volumes and ejection fraction. The code is very flexible providing opportunities to manipulate the shape and control the functional parameters in addition to creating variable sized-defects, extents and severities in different locations