Construction of a Full Row-Rank Matrix System for Multiple Scanning Directions in Computed Tomography
Document Type
Article
Publication Date
2-2017
Publication Title
Journal of Computational and Applied Mathematics
DOI
10.1016/j.cam.2016.08.039
ISSN
0377-0427
Abstract
A full row-rank system matrix generated by scans along two directions in discrete tomography was recently studied. In this paper, we generalize the result to multiple directions. Let Ax = h be a reduced binary linear system generated by scans along three directions. Using geometry, it is shown in this paper that the linearly dependent rows of the system matrix A can be explicitly identified and a full row-rank matrix can be obtained after the removal of those rows. The results could be extended to any number of multiple directions. Therefore, certain software packages requiring a full row-rank system matrix can be adopted to reconstruct an image. Meanwhile, the cost of computation is reduced by using a full row-rank matrix.
Recommended Citation
Li, Xiezhang, James D. Diffenderfer, Jiehua Zhu.
2017.
"Construction of a Full Row-Rank Matrix System for Multiple Scanning Directions in Computed Tomography."
Journal of Computational and Applied Mathematics, 311: 529-538.
doi: 10.1016/j.cam.2016.08.039
https://digitalcommons.georgiasouthern.edu/math-sci-facpubs/563
