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Advancements to Magnetic Resonance Flow Imaging in the Brain


Abstract Magnetic resonance flow imaging techniques provide quantitative and qualitative information that can be attributed to flow related clinical pathologies. Clinical use of MR flow quantification requires fast acquisition and reconstruction schemes, and minimization of post processing errors. The purpose of this work is to provide improvements to the post processing of volumetric phase contrast MRI (PCMRI) data, identify a source of flow bias for cine PCMRI that has not been previously reported in the literature, and investigate a dynamic approach to image bulk cerebrospinal fluid (CSF) drainage in ventricular shunts. The proposed improvements are implemented as three research projects.

In the first project, the improvements to post process... (more)
Created Date 2017
Contributor Ragunathan, Sudarshan (Author) / Pipe, James G (Advisor) / Frakes, David (Advisor) / Kodibagkar, Vikram (Committee member) / Sadleir, Rosalind (Committee member) / Hu, Houchun (Committee member) / Arizona State University (Publisher)
Subject Biomedical engineering / Aqueductal CSF flow / Bulk CSF flow / Flow quantification / Phase contrast MRI / RF Saturation
Type Doctoral Dissertation
Extent 140 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Doctoral Dissertation Biomedical Engineering 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis