High-order noise analysis for low dose iterative image reconstruction methods: ASIR, IRIS, and MBAI

Synho Do; Sarabjeet Singh; Mannudeep K. Kalra; W. Clem Karl; Thomas J. Brady; Homer Pien

doi:10.1117/12.878222

15 March 2011 High-order noise analysis for low dose iterative image reconstruction methods: ASIR, IRIS, and MBAI

Synho Do, Sarabjeet Singh, Mannudeep K. Kalra, W. Clem Karl, Thomas J. Brady, Homer Pien

Proceedings Volume 7961, Medical Imaging 2011: Physics of Medical Imaging; 79610I (2011) https://doi.org/10.1117/12.878222
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Iterative reconstruction techniques (IRTs) has been shown to suppress noise significantly in low dose CT imaging. However, medical doctors hesitate to accept this new technology because visual impression of IRT images are different from full-dose filtered back-projection (FBP) images. Most common noise measurements such as the mean and standard deviation of homogeneous region in the image that do not provide sufficient characterization of noise statistics when probability density function becomes non-Gaussian. In this study, we measure L-moments of intensity values of images acquired at 10% of normal dose and reconstructed by IRT methods of two state-of-art clinical scanners (i.e., GE HDCT and Siemens DSCT flash) by keeping dosage level identical to each other. The high- and low-dose scans (i.e., 10% of high dose) were acquired from each scanner and L-moments of noise patches were calculated for the comparison.

Citation Download Citation

Synho Do, Sarabjeet Singh, Mannudeep K. Kalra, W. Clem Karl, Thomas J. Brady, and Homer Pien "High-order noise analysis for low dose iterative image reconstruction methods: ASIR, IRIS, and MBAI", Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79610I (15 March 2011); https://doi.org/10.1117/12.878222

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