Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/14208
Title: Characterization of Cardiac Abnormality in Single Photon Emission Computed Tomography Images Using Image Processing Technique
Other Titles: توصيف أمراض التشوهات القلبية فى التصوير المقطعي بالفوتون الآحادى بإستخدام تقنية معالجة الصور
Authors: Omer, Abazar Mohamed Suliman
Supervisor,- Mohamed Elfadil Mohamed
Keywords: Medical Radiologic
nuclear Medicine technology
Image Processing Technique
Cardiac Abnormality
Issue Date: 18-Apr-2016
Publisher: Sudan University of Science and Technology
Citation: Omer , Abazar Mohamed Suliman . Characterization of Cardiac Abnormality in Single Photon Emission Computed Tomography Images Using Image Processing Technique \ Abazar Mohamed Suliman Omer ; Mohamed Elfadil Mohamed .- Khartoum:Sudan University of Science and Technology,College of Medical Radiologic Sciences,2016.-53p:ill;28cm.-M.Sc
Abstract: This study consists of 51 patient's different age, sex whom were referred to cardiology clinic for myocardial perfusion scintigraphy. To identify the percentage of the functioning areas of the heart by computer programthe study was also designed to code the heart SPECT image according to the function, differentiate between normal & abnormal area and To measure the size of the heart and the defected area. The patient underwent myocardial perfusion rest and stress scan taken after 30-40min, 50-60min respectively by acquiring 32 frames at 30sec/projectionwith the patients in supine position, in addition that in stress test the patients were injected with the pharmacological stress Persantine (0.567*patient weight) diluted with normal saline to have a total volume of 20ml. The study was conducted at International medical center (IMC) in SAUDIA ARABIA, JADDAH. Between(Oct2013-May2014). The results showed that there is a significant difference between the functioning percentage of the heart at rest and stress concerning the mild and moderate classification of heart perfusion reduction.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/14208
Appears in Collections:Masters Dissertations : Medical Radiologic Science

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