Accurate image reconstruction in CT from projection data taken at few-views

Emil Y. Sidky; Chien-Min Kao; Xiaochuan Pan

doi:10.1117/12.654299

2 March 2006 Accurate image reconstruction in CT from projection data taken at few-views

Emil Y. Sidky, Chien-Min Kao, Xiaochuan Pan

Proceedings Volume 6142, Medical Imaging 2006: Physics of Medical Imaging; 614229 (2006) https://doi.org/10.1117/12.654299
Event: Medical Imaging, 2006, San Diego, California, United States

Abstract

Image reconstruction from few-view CT is of interest because of the potential to reduce scanning time and radiation dose. The challenge of few-view CT for image reconstruction is essentially a problem of interpolation from under-sampled data. Recently, a new algorithm for inverting the Fourier transform from under-sampled data has been developed by Candes et al. IEEE Trans. Inf. Theory , 52 489 (2006). This algorithm can be directly applied to image reconstruction in 2D parallel-beam CT because of the central slice theorem. This article presents a discussion of the new algorithm, showing examples for different degrees of under-sampling.

Citation Download Citation

Emil Y. Sidky, Chien-Min Kao, and Xiaochuan Pan "Accurate image reconstruction in CT from projection data taken at few-views", Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 614229 (2 March 2006); https://doi.org/10.1117/12.654299

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