Paper
13 March 2009 Reduction of aliasing artifacts in tomographic images
Oleg Tischenko, Yuan Xu, Thomas Goetzfried, Ludwig Bogner, Christoph Hoeschen
Author Affiliations +
Proceedings Volume 7258, Medical Imaging 2009: Physics of Medical Imaging; 72583F (2009) https://doi.org/10.1117/12.813825
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Refining the sampling geometry of a CT scanner is a standard approach used for reduction of aliasing artifacts in CT images. Although this leads to reduction of the artifacts, the principal problem of aliasing streaks artifacts remains unsolved. A different approach is proposed, which in some special cases can solve the problem very efficiently. It is shown that under certain specific conditions, the sum of images reconstructed from the data collected within different sampling geometries is free of aliasing. These conditions are studied and practical situations where they can be realized are discussed.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oleg Tischenko, Yuan Xu, Thomas Goetzfried, Ludwig Bogner, and Christoph Hoeschen "Reduction of aliasing artifacts in tomographic images", Proc. SPIE 7258, Medical Imaging 2009: Physics of Medical Imaging, 72583F (13 March 2009); https://doi.org/10.1117/12.813825
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KEYWORDS
Reconstruction algorithms

Computed tomography

Sensors

Positron emission tomography

Tomography

Radon

Monte Carlo methods

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