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Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass
Machine Learning Classification Of Traumatic Brain Injury Patients Versus Healthy Controls Using Arterial Spin Labeled Perfusion Mri, Vanessa I. Grass
Dissertations, Theses, and Capstone Projects
Traumatic brain injury (TBI) is one of the most common causes of death and disability worldwide, yet accurate in vivo detection of TBI neuropathology remains challenging due to complexities in the structural and functional changes observed post-injury as well as limitations in conventional neuroimaging modalities. Although advanced neuroimaging techniques such as arterial spin labeling (ASL) can noninvasively assess cerebral blood flow (CBF) changes observed post-injury, this technique is underutilized in TBI research partly due to the low signal-to-noise-ratio (SNR) inherent in ASL imaging. The aim of the current study is to examine the use of machine learning, specifically a Support …