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Proceedings Paper

Variance estimation of x-ray CT sinogram in radon domain
Author(s): Jianhua Ma; Zhengrong Liang; Yi Fan; Yan Liu; Jing Huang; Lihong Li; Wufan Chen; Hongbing Lu
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Paper Abstract

Low-dose x-ray computed tomography (CT) is clinically desired. However, the quality of low-dose CT image is severely degraded due to excessive photon quantum noise and electronic noise. It is known that accurate noise modeling is a fundamental issue for low-dose CT imaging, such as statistical iterative image reconstruction and statistics-based singoram restoration. In this paper, we first studied the statistical moment properties of the noise model in CT projection domain wherein the noise of detected signal is considered as quantum photon noise plus background electronic noise. More importantly, we derived a new formula to estimate the mean-variance relationship in Radon domain by using Taylor explanation. To test the presented variance estimation formula, an anthropomorphic torso phantom was scanned repeated by a commercial scanner at five different mAs levels from 100 down to 17. The experimental results demonstrate that the electronic noise is significant when low-dose scan is performed or the number of detected photons is limited. As an important conclusion of the presented study, electronic noise effect should be considered in low-dose CT image reconstruction.

Paper Details

Date Published: 3 March 2012
PDF: 8 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132G (3 March 2012); doi: 10.1117/12.911669
Show Author Affiliations
Jianhua Ma, Stony Brook Univ. (United States)
Southern Medical Univ. (China)
Zhengrong Liang, Stony Brook Univ. (United States)
Yi Fan, Stony Brook Univ. (United States)
Yan Liu, Stony Brook Univ. (United States)
Jing Huang, Southern Medical Univ. (China)
Lihong Li, College of Staten Island (United States)
Wufan Chen, Southern Medical Univ. (China)
Hongbing Lu, Fourth Military Medical Univ. (China)

Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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