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Proceedings Paper

CT x-ray tube voltage optimisation and image reconstruction evaluation using visual grading analysis
Author(s): Xiaoming Zheng; Ted Myeongsoo Kim; Rob Davidson; Seongju Lee; Cheongil Shin; Sook Yang
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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
Show Author Affiliations
Xiaoming Zheng, 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)


Published in SPIE Proceedings Vol. 9033:
Medical Imaging 2014: Physics of Medical Imaging
Bruce R. Whiting; Christoph Hoeschen, Editor(s)

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