Published October 1, 2019 | Version v1
Journal article

Improved iterative tomographic reconstruction for x-ray imaging with edge-illumination

  • 1. Department of Medical Physics and Bioengineering, University College London, Gower Street, WC1E 6BT London (United Kingdom)
  • 2. Research and Development, Discovery and Analytical Solutions, PerkinElmer, 68 Elm Street, Hopkinton, MA 01748 (United States)

Description

Iterative tomographic reconstruction has been established as a viable alternative for data analysis in phase-sensitive x-ray imaging based on the edge-illumination principle. However, previously published approaches did not account for drifts of optical elements during a scan, which can lead to artefacts. Up to now, the strategy to reduce these artefacts was to acquire additional intermediate flat field images, which were used to correct the sinograms. Here, we expand the theoretical model to take these effects into account and demonstrate a significant reduction of (ring)-artefacts in the final reconstructions, while allowing for a significant reduction of scan time and dose. We further improve the model by including the capability to reconstruct combined absorption and phase contrast slices, which we experimentally demonstrate to deliver improved contrast to noise ratios compared to previously employed single shot approaches. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-6560/ab439d

Additional details

Identifiers

Publishing Information

Journal Title
Physics in Medicine and Biology
Journal Volume
64
Journal Issue
20
Journal Page Range
[9 p.]
ISSN
0031-9155
CODEN
PHMBA7

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52004076
Subject category
S62: RADIOLOGY AND NUCLEAR MEDICINE;
Descriptors DEI
DATA ANALYSIS; ITERATIVE METHODS; RADIATION DOSES; X RADIATION
Descriptors DEC
CALCULATION METHODS; DATA PROCESSING; DOSES; ELECTROMAGNETIC RADIATION; IONIZING RADIATIONS; PROCESSING; RADIATIONS