Electron paramagnetic resonance image reconstruction with total variation and curvelets regularization

DOI10.1088/1361-6420/aa8412zbMath1381.92055OpenAlexW2735207161MaRDI QIDQ4597556

Yves-Michel Frapart, Maud Kerebel, Sylvain Durand

Publication date: 13 December 2017

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/e587678218a447e5e4b23161700cfeeb553702c5

zbMATH Keywords

total variationRadon transformvariational methodcurveletselectron paramagnetic resonanceEPR imaging

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Radon transform (44A12) Numerical methods for integral transforms (65R10)

Related Items (1)

The first 100 years of the Radon transform

Uses Software

• Matlab
• FFTW
• Image Processing Toolbox
• EasySpin

Cites Work

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• Nonlinear total variation based noise removal algorithms
• Efficient numerical methods in non-uniform sampling theory
• Modeling textures with total variation minimization and oscillating patterns in image processing
• An algorithm for total variation minimization and applications
• Maximum entropy reconstruction methods in electron paramagnetic resonance imaging
• A first-order primal-dual algorithm for convex problems with applications to imaging
• Dual norms and image decomposition models
• Fundamentals of Computerized Tomography
• Texture Enhancing Based on Variational Image Decomposition
• Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?
• Accelerating the Nonuniform Fast Fourier Transform
• A Guide to the TV Zoo
• Fast Discrete Curvelet Transforms

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