Principles of computerized tomographic imaging

By A. Kak, Malcolm Slaney. Classics in applied mathematics, 2001

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Tensor-Based Formulation and Nuclear Norm Regularization for Multienergy Computed Tomography (2013, methodology): “em with TV regularization, for which we have used the UPN algorithm described in [66]. 7 Reconstruction Examples We compared the following methods in our simulations: 1.Filtered back projection (FBP) [67] algorithm applied to each energy bin separately. A RamLak lter multiplied with a Hamming window”
A Review of X-Ray Flow Visualization With Applications to Multiphase Flows (2011, methodology): “It is based on the mathematical process of reconstructing a function based on multiple projections, which was originally proposed by Radon in 1917 [22].”
Tomographic imaging of molecular orbitals (2004, background): “Alignment of gas-phase molecules Computed tomography refers to the technology of retrieving sectional images of an object, such as a human body, from a series of one-dimensional projection”