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Title page for ETD etd-03302018-142135


Type of Document Master's Thesis
Author Zhang, Shengchao
Author's Email Address shengchao.zhang@vanderbilt.edu
URN etd-03302018-142135
Title A Comprehensive Method of Evaluating the Preprocessing Stage of Functional Magnetic Resonance Imaging (fMRI)
Degree Master of Science
Department Electrical Engineering
Advisory Committee
Advisor Name Title
D.Mitchell Wilkes Committee Chair
Richard Alan Peters Committee Member
Keywords
  • Connection Probabilities
  • Subspace Filtering
Date of Defense 2018-04-24
Availability unrestricted
Abstract
fMRI nowadays is a very popular and crucial tool for medical purposes, which is always involved with engineering methods for properly processing the fMRI images. However, not too much effort has been invested in studying the preprocessing stage, the most basic step of processing the fMRI images and all subsequent steps based on it. In this thesis, some very interesting and significant changes are applied in the preprocessing stage. Then a very comprehensive method is employed to evaluate the effects of those changes on some advanced analysis. During the assessment phase, some other important new discoveries and facts regarding two significant methodologies of fMRI are presented: Functional Connectivity (FC), Posterior Cingulate Cortex (PCC). These new approaches will make the fMRI preprocessing more reasonable, reliable, and meaningful. More importantly, this project will prove the correct methods for the advanced analysis of fMRI images based on those changes in the preprocessing stage.

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