Date of Award
8-2016
Degree Type
Thesis
Degree Name
Master of Science in Electrical and Computer Engineering (MSECE)
Department
Electrical and Computer Engineering
First Advisor
Charles Addison Bouman
Second Advisor
Samuel Pratt Midkiff
Committee Chair
Charles Addison Bouman
Committee Co-Chair
Samuel Pratt Midkiff
Committee Member 1
Anand Raghunathan
Abstract
Recent applications of model-based iterative reconstruction(MBIR) algorithm to time-space Computed Tomography (CT) have shown that MBIR can greatly improve image quality by increasing resolution as well as reducing noise and some artifacts. Among the various iterative methods that have been studied for MBIR, iterative coordinate descent(ICD) has been found to have relatively low overall computational requirements due to its fast convergence. However, high computational cost and long reconstruction times remain as a barrier to the use of MBIR in practical applications. This disadvantage is especially prominent in time-space reconstruction because of the large volume of data. This thesis presents a new data structure, called VL-Buffer , for time-space reconstruction that significantly improves the cache locality while retaining good parallel performance. Experimental results show an average speedup of 40% using VL-Buffer.
Recommended Citation
Wang, Xiao, "Fast voxel line update for time-space image reconstruction" (2016). Open Access Theses. 1017.
https://docs.lib.purdue.edu/open_access_theses/1017