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Magnetic resonance phase contrast imaging for hemodynamic analysis in pathological vasculature
by Ahn, Sinyeob, PhD, UNIVERSITY OF CALIFORNIA, LOS ANGELES, 2007, 0 pages; 3302528
 

Abstract: Diagnosis and investigation of pathological vasculature have benefited from non-invasive and non-ionizing magnetic resonance imaging (MRI) in both morphological and functional studies for past decades due to its accuracy, precision, and high versatility. Among several hemodynamic factors, wall shear stress (WSS) has been extensively studied because of its significance in the context of blood vessel pathogenesis. There have been on-going efforts toward improving MR technology both in hardware and software in coping with several challenges including limited resolution, image quality, and relatively long scan time. This work focuses on studying hemodynamic WSS analysis using high resolution MR phase contrast (PC) techniques in pathological vasculature including intracranial aneurysms and atherosclerotic vessels, both of which are leading causes of death in the western society when they are not treated in a timely manner. In relation to high resolution PC flow quantifications, standard PC scheme was optimized for imaging and performing hemodynamic analysis in a flow phantom, anthropomorphic aneurysm models, in vivo human vasculature, and in vivo animal models, providing objective and reliable assessment of clinical relevance. New techniques such as dual-echo gradient echo (DEGE) PC sequence and un-subtracted balanced steady-state free precession (b-SSFP) sequence were also developed and examined using similar experimental set-ups to those used in standard PC study to investigate their feasibility and viability. In-house software was developed and utilized for in-plane hemodynamic analysis through the entirety of this study. High resolution MR PC techniques in conjunction with the in-house software of hemodynamic analysis may be a viable tool for assessing, analyzing, and correlating hemodynamic effects with pathological vasculature, providing clinically relevant information.

 
Advisor: Sinha, Shantanu
School: UNIVERSITY OF CALIFORNIA, LOS ANGELES
Source: DAI-B 69/02, p. 1136, Aug 2008
Source Type: PhD
Subjects: Biomedical research
Publication Number: 3302528
     
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