
Proceedings Paper
Shading correction algorithm for cone-beam CT in radiotherapy: extensive clinical validation of image quality improvementFormat | Member Price | Non-Member Price |
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Paper Abstract
A shading correction algorithm for the improvement of cone-beam CT (CBCT) images (Phys. Med. Biol. 53
5719{33) has been further developed, optimised and validated extensively using 135 clinical CBCT images of
patients undergoing radiotherapy treatment of the pelvis, lungs and head and neck. An automated technique has
been developed to efficiently analyse the large number of clinical images. Small regions of similar tissue (for
example fat tissue) are automatically identified using CT images. The same regions on the corresponding CBCT
image are analysed to ensure that they do not contain pixels representing multiple types of tissue. The mean
value of all selected pixels and the non-uniformity, defined as the median absolute deviation of the mean values
in each small region, are calculated. Comparisons between CT and raw and corrected CBCT images are then
made. Analysis of fat regions in pelvis images shows an average difference in mean pixel value between CT
and CBCT of 136:0 HU in raw CBCT images, which is reduced to 2:0 HU after the application of the shading
correction algorithm. The average difference in non-uniformity of fat pixels is reduced from 33:7 in raw CBCT
to 2:8 in shading-corrected CBCT images. Similar results are obtained in the analysis of lung and head and neck
images.
Paper Details
Date Published: 9 March 2017
PDF: 13 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101322A (9 March 2017); doi: 10.1117/12.2254035
Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)
PDF: 13 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101322A (9 March 2017); doi: 10.1117/12.2254035
Show Author Affiliations
K. D. Joshi, The Christie NHS Foundation Trust (United Kingdom)
T. E. Marchant, The Univ. of Manchester (United Kingdom)
The Christie NHS Foundation Trust (United Kingdom)
T. E. Marchant, The Univ. of Manchester (United Kingdom)
The Christie NHS Foundation Trust (United Kingdom)
C. J. Moore, The Univ. of Manchester (United Kingdom)
The Christie NHS Foundation Trust (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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