Title page for ETD etd-01272011-160024

Type of Document Master's Thesis
Author Fink, Carl Allen
URN etd-01272011-160024
Title The Design of a Computer System to Determine the Causes of Edema Using Magnetic Resonance Spectroscopy
Degree Master of Science in Systems Science (M.S.S.S.)
Department Computer Science
Advisory Committee
Advisor Name Title
Tyler, John Committee Chair
Chen, Jianhua Committee Member
Kraft, Donald Committee Member
  • medical imaging
  • neural networks
  • magnetic resonance spectroscopy
Date of Defense 2010-07-27
Availability unrestricted
Diabetes is a growing problem in the U.S.A., closely linked to the current obesity epidemic. Two common complications of diabetes, osteomyelitis of the foot, and Charcot's joint, are impossible to differentiate via traditional Magnetic Resonance Imaging. The background of Magnetic Resonance Spectroscopy, which transforms the time-domain MRI signal into the frequency domain spectrum, is explored, and its use to aid in this differentiation is proposed. Artificial Neural Networks can be employed to evaluate the MRS data and to automate the process.
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