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

Yao Xie; Adam S. Wang; Norbert J. Pelc

doi:10.1117/12.769954

18 March 2008 Lossy raw data compression in computed tomography with noise shaping to control image effects

Yao Xie, Adam S. Wang, Norbert J. Pelc

Proceedings Volume 6913, Medical Imaging 2008: Physics of Medical Imaging; 691332 (2008) https://doi.org/10.1117/12.769954
Event: Medical Imaging, 2008, San Diego, California, United States

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.

Citation Download Citation

Yao Xie, Adam S. Wang, and Norbert J. Pelc "Lossy raw data compression in computed tomography with noise shaping to control image effects", Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691332 (18 March 2008); https://doi.org/10.1117/12.769954

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