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Proceedings Paper

Noise reduction for helical computed tomography using coupled projections
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Paper Abstract

Helical computed tomography (HCT) has demonstrated the effectiveness in virtual colonoscopy (VC) or CTcolonography (CTC). One major concern with this clinical application is associated with the risk of high radiation exposure, especially for its use for screening purpose at a large population. In this work, we presented an improved Karhunen-Loeve (KL) domain penalized weighted least-squares (PWLS) strategy which considers the data correlations among the projection rays mainly due to partially overlap while system rotates. Two 1-dimensional (1D) projections, which called coupled projections (CPs), are composed according to the geometry. Each element of the 1D projection is carefully selected for a specific point within 2π angle along the system rotates and thus a highly correlation can be observed between any specific projection and the CPs. These highly correlated projections can be treated by an adaptive KL-PWLS strategy for accurate noise reduction. This method has been implemented and tested on computer simulated sinograms which mimic low-dose CT scans. The reconstructed images by the presented strategy demonstrated the potential of ultra low-dose CT application.

Paper Details

Date Published: 3 March 2012
PDF: 5 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83132C (3 March 2012); doi: 10.1117/12.911125
Show Author Affiliations
Yi Fan, Stony Brook Univ. (United States)
Jianhua Ma, Stony Brook Univ. (United States)
Southern Medical Univ. (China)
Yan Liu, Stony Brook Univ. (United States)
Hongbing Lu, Fourth Military Medical Univ. (China)
Zhengrong Liang, Stony Brook Univ. (United States)


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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