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Permanent link (DOI): https://doi.org/10.7939/R3KP4J

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Enhancements to Reconstruction Techniques in Computed Tomography Using High Performance Computing Open Access

Descriptions

Other title
Subject/Keyword
Multi-GPU
CWBP
GPU
Computed Tomography
FBP
SART
NPS
ART
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Eliuk, Steven N
Supervisor and department
Dr. Pierre. Boulanger Department of Computing Science
Examining committee member and department
Beg, Faisal (Biomedical Engineering, Simon Fraser University)
Noga, Michelle (Radiology and Diagnostic Imaging)
Hoover, James (Computing Science)
Boulanger, Pierre (Computing Science)
Lu, Paul (Computing Science)
Department
Department of Computing Science
Specialization

Date accepted
2012-06-05T15:06:40Z
Graduation date
2012-11
Degree

Degree level
Doctoral
Abstract
Computers have been used in diagnostic imaging for decades, but High-Performance Computing (HPC) in diagnostic imaging is rather rare because of the high cost associated with traditional HPC. Recent advancements in shared memory computers and the large market for commodity graphic cards have provided the means for technological evolution at a more rapid pace and decreased cost. These improvements can provide a detailed 3D view of the human body, near instantaneous recon- struction for Computed Tomography (CT), more intricate reconstruction algorithms, and reduced radiation exposure to patients through the use of iterative reconstruction techniques. The use of HPC in diagnostic imaging is realizable with current commodity hardware. For this reason a new reconstruction, visualization, and interaction environment has been constructed to decrease recon- struction time, decrease radiation exposure, and reconstruct images from raw attenuation values in medical-CT. The thesis explores the use of different computational tools in the Advanced Recon- struction Environment for Medical Imaging (AREMI). AREMI uses multi-core and multi-GPU pro- gramming for reconstruction of real-world clinical raw attenuation values from Siemens Definition Flash CT scanners. The use of this environment, analysis of various reconstruction techniques, and the ability to output High Dynamic Range (HDR) has provided a means to analyze various aspects of CT reconstruction in medical applications. The thesis also provides a concise review of filtered back-projection and algebraic methods in CT-reconstruction and provides insight into programming advanced CT-reconstruction concepts in a serial, multi-CPU, GPU, and multi-GPU environment that are not formally explained in literature; therefore, making this topic accessible and valuable to a broad audience.
Language
English
DOI
doi:10.7939/R3KP4J
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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File title: Enhancements to Computed Tomography Using High Performance Computing
File author: Steven N. Eliuk
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