29 April 2005 Quadratic regularization design for fan beam transmission tomography
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Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005); doi: 10.1117/12.593412
Event: Medical Imaging, 2005, San Diego, California, United States
Abstract
Statistical methods for tomographic image reconstruction have shown considerable potential for improving image quality in X-ray CT. Penalized-likelihood (PL) image reconstruction methods require maximizing an objective function that is based on the log-likelihood of the sinogram measurements and on a roughness penalty function to control noise. In transmission tomography, PL methods (and MAP methods) based on conventional quadratic regularization functions lead to nonuniform and anisotropic spatial resolution, even for idealized shift-invariant imaging systems. We have previously addressed this problem for parallel-beam emission tomography by designing data-dependent, shift-variant regularizers that improve resolution uniformity. This paper extends those methods to the fan-beam geometry used in X-ray CT imaging. Simulation results demonstrate that the new method for regularization design requires very modest computation and leads to nearly uniform and isotropic spatial resolution in the fan-beam geometry when using quadratic regularization.
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Hugo Shi, Jeffrey A. Fessler, "Quadratic regularization design for fan beam transmission tomography", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.593412; https://doi.org/10.1117/12.593412
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KEYWORDS
Sensors

Spatial resolution

Tomography

Fluctuations and noise

X-rays

Image restoration

X-ray computed tomography

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