Tomographic Image Reconstruction from a Sparse Projection Data Using Sinogram Interpolation
نویسندگان
چکیده
In this paper we propose a new approach of tomographic image reconstruction using sinogram interpolation for a sparse projection data. In this term, sinogram interpolation is a process of converting a sampled projection to a higher sampling rate projection. By using interpolation, we construct a new projections within the range of set of projection, then we apply a filtered backprojection reconstruction to get the tomographic image. This proposed approach reconstruction is applied to simulated half full angle projection data of the Shepp-Logan phantom with sparse angular sampling. The result are better than those given by filtered backprojection reconstruction without sinogram interpolation. Keyword tomography, projection, sinogram, interpolation, backprojection
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M.D. is with the Department of Nuclear Medicine, AZ-VUB, Free University Brussels, Belgium ([email protected]). F.N. is with the Department of Radiology, University of Utah, Salt Lake City ([email protected]) H.K. is with the Department of Information Science and Electronics, University of Tsukuba, Japan ([email protected]) b) Rebinning: estimation of a complete 2D tomographic ...
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