Pattern analysis of imaging markers in abdominal aortic aneurysms

Pham, Tuan D., and Golledge, Jonathan (2013) Pattern analysis of imaging markers in abdominal aortic aneurysms. In: Proceedings of the 6th International Conference on Biomedical Engineering and Informatics (1) pp. 154-159. From: BMEI 2013: 6th International Conference on Biomedical Engineering and Informatics, Hangzhou, China, 16-18 December 2013.

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Abstract

Abdominal aortic aneurysm is a serious vascular disease, which is the progressive dilation of the abdominal aorta caused by the weakening of the aortic wall. Its rupture has been known as a significant cause of mortality for adults older than sixty-five years of age. Screening and assessment of abdominal aortic aneurysms are currently performed by either ultrasound or computed tomography, with the latter technology being the current gold standard. Each abdominal aortic aneurysm is different having varying percentage of size, thrombus, and calcification. These imaging markers play a critical role in determining rupture risk and therefore management of treatment. We propose here a novel application of a nonlinear dynamical model and stochastic pattern classification of abdominal aortic aneurysm imaging markers for rupture risk prediction on computed tomography scans.

Item ID: 33340
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4799-2760-9
Keywords: abdominal aortic aneurysm, vascular disease, computed tomography, imaging markers, nonlinear dynamics, stochastic modeling, pattern classification
Date Deposited: 27 May 2014 00:32
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1102 Cardiovascular Medicine and Haematology > 110201 Cardiology (incl Cardiovascular Diseases) @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920103 Cardiovascular System and Diseases @ 100%
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