Share Email Print
cover

Proceedings Paper

Penalized weighted least-squares approach for low-dose x-ray computed tomography
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

The noise of low-dose computed tomography (CT) sinogram follows approximately a Gaussian distribution with nonlinear dependence between the sample mean and variance. The noise is statistically uncorrelated among detector bins at any view angle. However the correlation coefficient matrix of data signal indicates a strong signal correlation among neighboring views. Based on above observations, Karhunen-Loeve (KL) transform can be used to de-correlate the signal among the neighboring views. In each KL component, a penalized weighted least-squares (PWLS) objective function can be constructed and optimal sinogram can be estimated by minimizing the objective function, followed by filtered backprojection (FBP) for CT image reconstruction. In this work, we compared the KL-PWLS method with an iterative image reconstruction algorithm, which uses the Gauss-Seidel iterative calculation to minimize the PWLS objective function in image domain. We also compared the KL-PWLS with an iterative sinogram smoothing algorithm, which uses the iterated conditional mode calculation to minimize the PWLS objective function in sinogram space, followed by FBP for image reconstruction. Phantom experiments show a comparable performance of these three PWLS methods in suppressing the noise-induced artifacts and preserving resolution in reconstructed images. Computer simulation concurs with the phantom experiments in terms of noise-resolution tradeoff and detectability in low contrast environment. The KL-PWLS noise reduction may have the advantage in computation for low-dose CT imaging, especially for dynamic high-resolution studies.

Paper Details

Date Published: 3 March 2006
PDF: 12 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614247 (3 March 2006); doi: 10.1117/12.653903
Show Author Affiliations
Jing Wang, SUNY/Stony Brook (United States)
Tianfang Li, Stanford Univ. (United States)
Hongbing Lu, Fourth Military Medical Univ. (China)
Zhengrong Liang, SUNY/Stony Brook (United States)


Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

© SPIE. Terms of Use
Back to Top