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An efficient Monte Carlo-based algorithm for scatter correction in keV cone-beam CT.

Poludniowski, G, Evans, PM, Hansen, VN and Webb, S (2009) An efficient Monte Carlo-based algorithm for scatter correction in keV cone-beam CT. Physics in Medicine and Biology, 54 (12). pp. 3847-3864.

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Abstract

A new method is proposed for scatter-correction of cone-beam CT images. A coarse reconstruction is used in initial iteration steps. Modelling of the x-ray tube spectra and detector response are included in the algorithm. Photon diffusion inside the imaging subject is calculated using the Monte Carlo method. Photon scoring at the detector is calculated using forced detection to a fixed set of node points. The scatter profiles are then obtained by linear interpolation. The algorithm is referred to as the coarse reconstruction and fixed detection (CRFD) technique. Scatter predictions are quantitatively validated against a widely used general-purpose Monte Carlo code: BEAMnrc/EGSnrc (NRCC, Canada). Agreement is excellent. The CRFD algorithm was applied to projection data acquired with a Synergy XVI CBCT unit (Elekta Limited, Crawley, UK), using RANDO and Catphan phantoms (The Phantom Laboratory, Salem NY, USA). The algorithm was shown to be effective in removing scatter-induced artefacts from CBCT images, and took as little as 2 min on a desktop PC. Image uniformity was greatly improved as was CT-number accuracy in reconstructions. This latter improvement was less marked where the expected CT-number of a material was very different to the background material in which it was embedded.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Poludniowski, GUNSPECIFIEDUNSPECIFIED
Evans, PMUNSPECIFIEDUNSPECIFIED
Hansen, VNUNSPECIFIEDUNSPECIFIED
Webb, SUNSPECIFIEDUNSPECIFIED
Date : 21 June 2009
Identification Number : 10.1088/0031-9155/54/12/016
Uncontrolled Keywords : Algorithms, Artifacts, Cone-Beam Computed Tomography, Data Interpretation, Statistical, Monte Carlo Method, 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 11:26
Last Modified : 23 Sep 2013 19:53
URI: http://epubs.surrey.ac.uk/id/eprint/739075

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