LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS

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 implemen...

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Main Author:	Sethaphong, Latsavongsakda
Other Authors:	Eric J. Hustedt
Format:	Others
Language:	en
Published:	VANDERBILT 2008
Subjects:	Molecular Physiology and Biophysics
Online Access:	http://etd.library.vanderbilt.edu/available/etd-03152008-170236/

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spelling	ndltd-VANDERBILT-oai-VANDERBILTETD-etd-03152008-1702362013-01-08T17:16:18Z LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS Sethaphong, Latsavongsakda Molecular Physiology and Biophysics 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 Universitys 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. Eric J. Hustedt Albert H. Beth David W. Piston VANDERBILT 2008-04-01 text application/pdf http://etd.library.vanderbilt.edu/available/etd-03152008-170236/ http://etd.library.vanderbilt.edu/available/etd-03152008-170236/ en unrestricted I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.
collection	NDLTD
language	en
format	Others
sources	NDLTD
topic	Molecular Physiology and Biophysics
spellingShingle	Molecular Physiology and Biophysics Sethaphong, Latsavongsakda LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS
description	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 Universitys 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.
author2	Eric J. Hustedt
author_facet	Eric J. Hustedt Sethaphong, Latsavongsakda
author	Sethaphong, Latsavongsakda
author_sort	Sethaphong, Latsavongsakda
title	LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS
title_short	LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS
title_full	LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS
title_fullStr	LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS
title_full_unstemmed	LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS
title_sort	large format ctis in real time: parallelized algorithms and preconditioning initializers
publisher	VANDERBILT
publishDate	2008
url	http://etd.library.vanderbilt.edu/available/etd-03152008-170236/
work_keys_str_mv	AT sethaphonglatsavongsakda largeformatctisinrealtimeparallelizedalgorithmsandpreconditioninginitializers
_version_	1716533192401354752

LARGE FORMAT CTIS IN REAL TIME: PARALLELIZED ALGORITHMS AND PRECONDITIONING INITIALIZERS

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