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Proceedings Paper

Lossy raw data compression in computed tomography with noise shaping to control image effects
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Paper Abstract

The data rate requirements for raw data transmission through the slip ring of a CT scanner can be quite challenging. While lossy compression can offer a significant reduction in data set size, it introduces errors to the measurements. The design and evaluation of compression methods need to take into account the nature of the sinogram. In this paper, we present two compression noise shaping methods for fixed rate lossy compression of CT raw data that achieve a lower error level in the center region of the reconstructed image: error feedback filters and sub-band coding with bit allocation.

Paper Details

Date Published: 18 March 2008
PDF: 8 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691332 (18 March 2008); doi: 10.1117/12.769954
Show Author Affiliations
Yao Xie, Stanford Univ. (United States)
Adam S. Wang, Stanford Univ. (United States)
Norbert J. Pelc, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

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