X-ray computed tomography using partially coherent Fresnel diffraction with application to an optical fiber

Abstract

A reconstruction algorithm for partially coherent x-ray computed tomography (XCT) including Fresnel diffraction is developed and applied to an optical fiber. The algorithm is applicable to a high-resolution tube-based laboratory-scale x-ray tomography instrument. The computing time is only a few times longer than the projective counterpart. The algorithm is used to reconstruct, with projections and diffraction, a tilt series acquired at the micrometer scale of a graded-index optical fiber using maximum likelihood and a Bayesian method based on the work of Bouman and Sauer. The inclusion of Fresnel diffraction removes some reconstruction artifacts and use of a Bayesian prior probability distribution removes others, resulting in a substantially more accurate reconstruction.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 11, 2021
Source ID
10.1364/oe.414398

Entities

People

  • Adele P. Peskin
  • Axel A. Ekman
  • Edward J. Garboczi
  • Elisabeth Mansfield
  • Jason D. Holm
  • Zachary H Levine

Organizations

  • Information Technology Laboratory
  • Intelligence Advanced Research Projects Activity
  • National Institutes of Health
  • Office of Basic Energy Sciences

Tags

Fields of Study

  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Medical Imaging.
  • Optical Physics and Photonics.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms