Published March 2015 | Version v1
Journal article

A library least-squares approach for scatter correction in gamma-ray tomography

  • 1. The Michelsen Centre for Industrial Measurement Science, PO Box 6031, NO-5892, Bergen (Norway)
  • 2. Department of Physics and Technology, University of Bergen, Allgaten 55, 5007 Bergen (Norway)
  • 3. Faculty of Engineering and Business Administration, Bergen University College, Inndalsveien 28, 5063 Bergen (Norway)
  • 4. Centro de Informatica (CIn), Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n – Cidade Universitaria, 50740-560 Recife (Brazil)

Description

Scattered radiation is known to lead to distortion in reconstructed images in Computed Tomography (CT). The effects of scattered radiation are especially more pronounced in non-scanning, multiple source systems which are preferred for flow imaging where the instantaneous density distribution of the flow components is of interest. In this work, a new method based on a library least-squares (LLS) approach is proposed as a means of estimating the scatter contribution and correcting for this. The validity of the proposed method is tested using the 85-channel industrial gamma-ray tomograph previously developed at the University of Bergen (UoB). The results presented here confirm that the LLS approach can effectively estimate the amounts of transmission and scatter components in any given detector in the UoB gamma-ray tomography system. - Highlights: • A LLS approach is proposed for scatter correction in gamma-ray tomography. • The validity of the LLS approach is tested through experiments. • Gain shift and pulse pile-up affect the accuracy of the LLS approach. • The LLS approach successfully estimates scatter profiles

Availability note (English)

Available from http://dx.doi.org/10.1016/j.radphyschem.2014.11.013

Additional details

Identifiers

DOI
10.1016/j.radphyschem.2014.11.013;
PII
S0969-806X(14)00425-3;

Publishing Information

Journal Title
Radiation Physics and Chemistry (1993)
Journal Volume
108
Journal Page Range
p. 39-47
ISSN
0969-806X
CODEN
RPCHDM

Optional Information

Copyright
Copyright (c) 2014 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.