7 March 2014 Novel tensor transform-based method of image reconstruction from limited-angle projection data
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Abstract
The tensor representation is an effective way to reconstruct the image from a finite number of projections, especially, when projections are limited in a small range of angles. The image is considered in the image plane and reconstruction is in the Cartesian lattice. This paper introduces a new approach for calculating the splittingsignals of the tensor transform of the discrete image f(xi, yj ) from a fine number of ray-integrals of the real image f(x, y). The properties of the tensor transform allows for calculating a large part of the 2-D discrete Fourier transform in the Cartesian lattice and obtain high quality reconstructions, even when using a small range of projections, such as [0°, 30°) and down to [0°, 20°). The experimental results show that the proposed method reconstructs images more accurately than the known method of convex projections and filtered backprojection.
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Artyom M. Grigoryan, Artyom M. Grigoryan, Nan Du, Nan Du, } "Novel tensor transform-based method of image reconstruction from limited-angle projection data", Proc. SPIE 9020, Computational Imaging XII, 90200F (7 March 2014); doi: 10.1117/12.2038255; https://doi.org/10.1117/12.2038255
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