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Proceedings Paper

Shading correction for cone-beam CT in radiotherapy: validation of dose calculation accuracy using clinical images
Author(s): T. E. Marchant; K. D. Joshi; C. J. Moore
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Paper Abstract

Cone-beam CT (CBCT) images are routinely acquired to verify patient position in radiotherapy (RT), but are typically not calibrated in Hounsfield Units (HU) and feature non-uniformity due to X-ray scatter and detector persistence effects. This prevents direct use of CBCT for re-calculation of RT delivered dose. We previously developed a prior-image based correction method to restore HU values and improve uniformity of CBCT images. Here we validate the accuracy with which corrected CBCT can be used for dosimetric assessment of RT delivery, using CBCT images and RT plans for 45 patients including pelvis, lung and head sites. Dose distributions were calculated based on each patient's original RT plan and using CBCT image values for tissue heterogeneity correction. Clinically relevant dose metrics were calculated (e.g. median and minimum target dose, maximum organ at risk dose). Accuracy of CBCT based dose metrics was determined using an "override ratio" method where the ratio of the dose metric to that calculated on a bulk-density assigned version of the image is assumed to be constant for each patient, allowing comparison to “gold standard” CT. For pelvis and head images the proportion of dose errors >2% was reduced from 40% to 1.3% after applying shading correction. For lung images the proportion of dose errors >3% was reduced from 66% to 2.2%. Application of shading correction to CBCT images greatly improves their utility for dosimetric assessment of RT delivery, allowing high confidence that CBCT dose calculations are accurate within 2-3%.

Paper Details

Date Published: 9 March 2017
PDF: 11 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101320J (9 March 2017); doi: 10.1117/12.2254059
Show Author Affiliations
T. E. Marchant, Manchester Academic Health Science Ctr., The Univ. of Manchester (United Kingdom)
The Christie NHS Foundation Trust (United Kingdom)
K. D. Joshi, The Christie NHS Foundation Trust (United Kingdom)
C. J. Moore, Manchester Academic Health Science Ctr., The Univ. of Manchester (United Kingdom)
The Christie NHS Foundation Trust (United Kingdom)


Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)

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