Fast voxel line update for time-space image reconstruction
Xiao Wang, K. Aditya Mohan, Sherman J. Kisner, Charles A. Bouman, Samuel P. Midkiff
Abstract
Model based iterative reconstruction (MBIR) algorithms have been used to greatly improve image quality and temporal resolution in synchrotron based time-space Computed Tomography (CT). Among the various optimization methods that have been used for MBIR, iterative coordinate descent (ICD) has relatively lower computational requirements because it converges fast. In spite of that, long execution time remains a barrier for the widespread use of MBIR. In this paper, we present 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.
BibTeX
@inproceedings{icassp2016_fastvoxellineupd,
title = {Fast voxel line update for time-space image reconstruction},
author = {Xiao Wang and K. Aditya Mohan and Sherman J. Kisner and Charles A. Bouman and Samuel P. Midkiff},
booktitle = {ICASSP 2016},
year = {2016}
}