Construction of a Full Row-Rank Matrix System for Multiple Scanning Directions in Computed Tomography

Xiezhang Li, James D. Diffenderfer, Jiehua Zhu

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
JournalJournal of Computational and Applied Mathematics
Volume311
DOIs
StatePublished - Feb 1 2017

Keywords

  • Computed Tomography
  • Matrix System
  • Multiple Scanning Directions
  • Row-Rank

DC Disciplines

  • Education
  • Mathematics

Fingerprint

Dive into the research topics of 'Construction of a Full Row-Rank Matrix System for Multiple Scanning Directions in Computed Tomography'. Together they form a unique fingerprint.

Cite this