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Title page for ETD etd-03152008-170236


Type of Document Master's Thesis
Author Sethaphong, Latsavongsakda
URN etd-03152008-170236
Title Large format CTIS in real time: parallelized algorithms and preconditioning initializers
Degree Master of Science
Department Molecular Physiology and Biophysics
Advisory Committee
Advisor Name Title
Albert H. Beth Committee Chair
David W. Piston Committee Member
Eric J. Hustedt Committee Member
Keywords
  • Computed Tomography
  • Real Time
  • Hyperspectral
  • Reconstruction
  • Algorithms
Date of Defense 2007-11-12
Availability unrestricted
Abstract
Real time processing of hyperspectral imaging data of the kind acquired by Computed Tomography Imaging Spectroscopy (CTIS) presents some unique challenges in computational power and data storage. The general approach pursued in this work is a direct application of numerical solution methods implemented in the computing cluster environment of Vanderbilt University’s Advanced Computing Cluster Resource (ACCRE). The examination of four reconstruction algorithms, Simultaneous Algebraic Reconstruction, Cimmino Component Averaging, Expectation Maximization-Maximum Likelihood, and Multiplicative Algebraic Reconstruction Technique were explored. The Multiplicative Algebraic Reconstruction Technique proved robust in quality and speed as implemented with the matrix preconditioning method as employed.
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