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- W2535418713 abstract "Summary form only given. The Cormack algorithm for doing tomography is easily extended from parallel geometry to fan geometry. After a Fourier transform of the data (in rotation angle space) one is required to solve a truncated system before back Fourier transforming to object space. This is carried out by doing a Galerkin discretization and converting the system to a system of matrix equations, which are solved by singular value decomposition (SVD). All of the SVD work on all N+1 kernels, can be done once and stored. Some reconstructions derived from very noisy data have been obtained. >" @default.
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- W2535418713 date "2002-12-09" @default.
- W2535418713 modified "2023-09-24" @default.
- W2535418713 title "Tomography: the Cormack algorithm revisited" @default.
- W2535418713 doi "https://doi.org/10.1109/nssmic.1991.259285" @default.
- W2535418713 hasPublicationYear "2002" @default.
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