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Rayleigh scatter in kilovoltage x-ray imaging: is the independent atom approximation good enough?

Poludniowski, G, Evans, PM and Webb, S (2009) Rayleigh scatter in kilovoltage x-ray imaging: is the independent atom approximation good enough? Physics in Medicine and Biology, 54 (22). pp. 6931-6942.

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Monte Carlo simulation is the gold standard method for modelling scattering processes in medical x-ray imaging. General-purpose Monte Carlo codes, however, typically use the independent atom approximation (IAA). This is known to be inaccurate for Rayleigh scattering, for many materials, in the forward direction. This work addresses whether the IAA is sufficient for the typical modelling tasks in medical kilovoltage x-ray imaging. As a means of comparison, we incorporate a more realistic 'interference function' model into a custom-written Monte Carlo code. First, we conduct simulations of scatter from isolated voxels of soft tissue, adipose, cortical bone and spongiosa. Then, we simulate scatter profiles from a cylinder of water and from phantoms of a patient's head, thorax and pelvis, constructed from diagnostic-quality CT data sets. Lastly, we reconstruct CT numbers from simulated sets of projection images and investigate the quantitative effects of the approximation. We show that the IAA can produce errors of several per cent of the total scatter, across a projection image, for typical x-ray beams and patients. The errors in reconstructed CT number, however, for the phantoms simulated, were small (typically < 10 HU). The IAA can therefore be considered sufficient for the modelling of scatter correction in CT imaging. Where accurate quantitative estimates of scatter in individual projection images are required, however, the appropriate interference functions should be included.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
Poludniowski, G
Evans, PM
Webb, S
Date : 21 November 2009
DOI : 10.1088/0031-9155/54/22/012
Uncontrolled Keywords : Algorithms, Computer Simulation, Humans, Models, Biological, Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, Reproducibility of Results, Scattering, Radiation, Sensitivity and Specificity
Additional Information : Copyright 2009 Institute of Physics. This is the author's accepted manuscript.
Depositing User : Symplectic Elements
Date Deposited : 14 Dec 2012 11:21
Last Modified : 31 Oct 2017 14:53

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