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The Software and Hardware Acceleration for Interior Tomography

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abstract
The x-ray CT is with high spatial resolution, temporal resolutions, and high-speed imaging characteristic. The iterative reconstruction algorithms are becoming more important since they can reconstruct better image qualities from incomplete projection data compared to analytical reconstruction algorithms. Iterative reconstruction algorithms also allow more flexible trajectories. However, the high computational cost prevents them from wide applications in clinics. Therefore, it is necessary to develop software and hardware methods to accelerate the iterative reconstruction algorithms. The main methods to accelerate iterative reconstruction algorithms can be either expedite the convergence rate of the algorithm mathematically or directly accelerating the most time-consuming projection / backprojection procedures.
subject
Computed Tomography
GPU
GPU acceleration
Interior tomography
contributor
Liu, Rui (author)
Yu, Hengyong (committee chair)
Hamilton, Craig A. (committee member)
Wang, Ge (committee member)
Cao, Guohua (committee member)
date
2017-01-14T09:35:21Z (accessioned)
2017-01-14T09:35:21Z (available)
2016 (issued)
degree
Biomedical Engineering (discipline)
identifier
http://hdl.handle.net/10339/64178 (uri)
language
en (iso)
publisher
Wake Forest University
title
The Software and Hardware Acceleration for Interior Tomography
type
Dissertation

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