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2 March 2006 Accurate image reconstruction in CT from projection data taken at few-views
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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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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