Robert M. Lober, M.D., Ph.D. (Committee Chair); Matthew S. Sherwood, Ph.D. (Committee Co-Chair); David R. Ladle, Ph.D. (Committee Member)
Master of Science (MS)
Because magnetic resonance (MR) and positron emission tomography (PET) scanning sessions last long durations, motion blur during scanning constitutes a problem for clinical interpretation. To counteract this, motion-correction algorithms have been developed to reduce smearing between scan slices of MRI, but these algorithms are not commonplace for PET. This feasibility study determined if applying MRI motion-correction algorithms to simultaneously acquired PET data improved PET signal clarity in specific brain regions. Seven subjects received increasing levels of PET tracers while undergoing two separate simultaneous PET/MRI scans. We modified existing fMRI algorithms to apply them to the accompanying PET data. We hypothesized gray matter activity was low due to motion-blurring, and correction would result in increased signal intensity. We evaluated this and other internal brain regions using a Wilcoxon Signed-Rank statistical test. We failed to reject the null hypothesis as no regions showed significant differences between the motion-corrected and raw data.
Department or Program
Department of Neuroscience, Cell Biology, and Physiology
Year Degree Awarded
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