Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/20492
Title: Estimation of Myocardial Perfusion in SPECT Scintigraphy using Quantitative Analysis
Other Titles: تقويم نضح عضلة القلب في التصوير المقطعي الاحادي باستخدام التحليل الكمي
Authors: Ali, Mohammed Ahmed MohammedSaeed
Supervisor, -Mohamed Elfadil Mohamed Gar-Alnabi
Keywords: Medical Radiologic Sciences
Nuclear Medicine Technology
Myocardial Perfusion
Quantitative Analysis
Issue Date: 27-Jul-2017
Publisher: Sudan University of Science and Technology
Citation: Ali, Mohammed Ahmed MohammedSaeed . Estimation of Myocardial Perfusion in SPECT Scintigraphy using Quantitative Analysis \ Mohammed Ahmed MohammedSaeed Ali ; Mohamed Elfadil Mohamed Gar-Alnabi .- Khartoum :Sudan University of Science and Technology , Medical Radiologic Science,2017.-78 p : ill ;28 cm .- PhD
Abstract: Heart disease is one of the cause’s numbers of death in the world, if the heart could not pump blood and distribute it to all parts of the body; pain in the chest will happen while heavy work or walk a rush. Myocardial perfusion imaging (MPI) techniques is an ideal approach to doing the assessments of myocardial perfusion as non-invasive imaging modalities; it can examine the functions of the various segments of the heart muscle to reflect whether there is a malfunction of the heart. Estimation of myocardial perfusion imaging in SPECT scintigraphy using Tc99m sestamibi, patient sample one hundred- ninety three suspected heart disease examined by SPECT scintigraphy in rest and stress conditions . the result shows that Estimation of stress myocardial perfusion characterize to three mode of blood perfusion (end-diastolic, end-systolic volumes and ejection fraction), and estimated well by the linear equation for the three mode of blood perfusion, and from the patients information such as age and body mass index can estimate the rest myocardial perfusion from patient’s information without need it to rest scan by 99mTc sestamibi. Study concluded that can estimate of stress myocardial perfusion from rest condition without need to stress the patients, as well as estimated of rest myocardial perfusion from patient information.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/20492
Appears in Collections:PhD theses :Medical Radiologic Science

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