Computed Tomography: Algorithms, Insight, and Just Enough Theory

DOI10.1137/1.9781611976670zbMath1482.94006OpenAlexW4237006396MaRDI QIDQ5033058

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Publication date: 22 February 2022

Full work available at URL: https://doi.org/10.1137/1.9781611976670

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Proceedings, conferences, collections, etc. pertaining to numerical analysis (65-06) Proceedings, conferences, collections, etc. pertaining to information and communication theory (94-06) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Proceedings, conferences, collections, etc. pertaining to biology (92-06) Numerical approximation and computational geometry (primarily algorithms) (65Dxx) Proceedings, conferences, collections, etc. pertaining to integral transforms (44-06) Integral transforms, operational calculus (44Axx)

Related Items (8)

A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles ⋮ GMRES methods for tomographic reconstruction with an unmatched back projector ⋮ Sparse Bayesian inference with regularized Gaussian distributions ^* ⋮ Bayesian Inference with Projected Densities ⋮ Randomized Kaczmarz iteration methods: algorithmic extensions and convergence theory ⋮ CUQIpy: I. Computational uncertainty quantification for inverse problems in Python ⋮ Horseshoe Priors for Edge-Preserving Linear Bayesian Inversion ⋮ A quasi-meshfree method for constructing boundary-aware reproducing bases on geometrically complex domains using manifold geodesics

Uses Software

• Matlab

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