Line-source based X-ray tomography

  • Authors:

  • Deepak Bharkhada;Hengyong Yu;Hong Liu;Robert Plemmons;Ge Wang

  • Affiliations:

  • Biomedical Imaging Division, VT-WFU School of Biomedical Engineering & Sciences, Wake Forest University, Winston-Salem, NC and Biomedical Engineering Department, Wake Forest University School ...;Biomedical Imaging Division, VT-WFU School of Biomedical Engineering & Sciences, Virginia Tech., Blacksburg, VA;School of Electrical & Computer Engineering, University of Oklahoma, Norman, OK;Departments of Mathematics and Computer Science, Wake Forest University, Winston-Salem, NC;Biomedical Imaging Division, VT-WFU School of Biomedical Engineering & Sciences, Wake Forest University, Winston-Salem, NC and Biomedical Engineering Department, Wake Forest University School ...

  • Venue:
  • Journal of Biomedical Imaging
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Current computed tomography (CT) scanners, including micro-CT scanners, utilize a point x-ray source. As we target higher and higher spatial resolutions, the reduced x-ray focal spot size limits the temporal and contrast resolutions achievable. To overcome this limitation, in this paper we propose to use a line-shaped x-ray source so that many more photons can be generated, given a data acquisition interval. In reference to the simultaneous algebraic reconstruction technique (SART) algorithm for image reconstruction from projection data generated by an x-ray point source, here we develop a generalized SART algorithm for image reconstruction from projection data generated by an x-ray line source.Our numerical simulation results demonstrate the feasibility of our novel line-source based x-ray CT approach and the proposed generalized SART algorithm.