Auto-measurement for stent graft & virtual post stent endovascular evaluation of EVAR
2011
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Advisor: Prof. Dr. Alp Kut
Abstract (EN)
The use of computer systems has influenced every area of the society including medical. In medical diagnosis, it is highly desirable to have detailed information on the anatomical and pathological features of the patient as possible. Medical visualization can help to overcome this problem by providing a 3D representation of the patient?s anatomy.This thesis introduces a medical visualization platform and measurement methods to help physicians in determining appropriate stent grafts for abdominal aortic aneurysms and diagnosing the aneurysm before and after stent graft repair. Selection of an appropriate stent graft for the aneurysm requires accurate measurements of the aorta and the aneurysm. Platform provides various measurement capabilities on a generated 3D model of the aorta.In this study, a system is proposed which generates 3D model of the aneurysm from computer tomography images using common segmentation and modeling methods. System provides measurement methods to gather crucial measurements such as aortic neck angulations and aneurysm length before EVAR operation for appropriate stent selection.Several evaluation methods were performed on the data models to verify the accuracy of the system. The results showed that the system has a high reliability.
Author
Dr. Hulusi Baysal
Institution
How to Cite
Hulusi Baysal (Doctorate thesis). Auto-measurement for stent graft & virtual post stent endovascular evaluation of EVAR, 2011, Dokuz Eylül University, Bilgisayar Mühendisliği Bölümü.
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