
Proceedings Paper
CT x-ray tube voltage optimisation and image reconstruction evaluation using visual grading analysisFormat | Member Price | Non-Member Price |
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Paper Abstract
The purposes of this work were to find an optimal x-ray voltage for CT imaging and to determine the diagnostic
effectiveness of image reconstruction techniques by using the visual grading analysis (VGA). Images of the PH-5 CT
abdomen phantom (Kagaku Co, Kyoto) were acquired by the Toshiba Aquillion One 320 slices CT system with various
exposures (from 10 to 580 mAs) under different tube peak voltages (80, 100 and 120 kVp). The images were
reconstructed by employing the FBP and the AIDR 3D iterative reconstructions with Mild, Standard and Strong FBP
blending. Image quality was assessed by measuring noise, contrast to noise ratio and human observer’s VGA scores. The
CT dose index CTDIv was obtained from the values displayed on the images. The best fit for the curves of the image
quality VGA vs dose CTDIv is a logistic function from the SPSS estimation. A threshold dose Dt is defined as the
CTDIv at the just acceptable for diagnostic image quality and a figure of merit (FOM) is defined as the slope of the
standardised logistic function. The Dt and FOM were found to be 5.4, 8.1 and 9.1 mGy and 0.47, 0.51 and 0.38 under the
tube voltages of 80, 100 and 120 kVp, respectively, from images reconstructed by the FBP technique. The Dt and FOM
values were lower from the images reconstructed by the AIDR 3D in comparison with the FBP technique. The optimal xray
peak voltage for the imaging of the PH-5 abdomen phantom by the Aquillion One CT system was found to be at 100
kVp. The images reconstructed by the FBP are more diagnostically effective than that by the AIDR 3D but with a higher
dose Dt to the patients.
Paper Details
Date Published: 19 March 2014
PDF: 10 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903328 (19 March 2014); doi: 10.1117/12.2043201
Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)
PDF: 10 pages
Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 903328 (19 March 2014); doi: 10.1117/12.2043201
Show Author Affiliations
Xiaoming Zheng, Charles Sturt Univ. (Australia)
Ted Myeongsoo Kim, Charles Sturt Univ. (Australia)
Rob Davidson, Charles Sturt Univ. (Australia)
Ted Myeongsoo Kim, Charles Sturt Univ. (Australia)
Rob Davidson, Charles Sturt Univ. (Australia)
Seongju Lee, Seoul National Univ. Hospital (Korea, Republic of)
Cheongil Shin, Seoul National Univ. Hospital (Korea, Republic of)
Sook Yang, Dongshin Univ. (Korea, Republic of)
Cheongil Shin, Seoul National Univ. Hospital (Korea, Republic of)
Sook Yang, Dongshin Univ. (Korea, Republic of)
Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)
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