Parameter Selection in Dynamic Contrast-Enhanced Magnetic Resonance Tomography

DOI10.1007/978-3-030-48634-1_6zbMath1452.94019arXiv2002.09129OpenAlexW3040286006MaRDI QIDQ5117955

Ville Kolehmainen, Matti Hanhela, Kati Niinimäki

Publication date: 26 August 2020

Published in: Mathematical and Numerical Approaches for Multi-Wave Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2002.09129

zbMATH Keywords

image reconstructiondynamic contrast-enhanced MRIS-curve regularizationsparsely sampled MRI

Mathematics Subject Classification ID

Numerical methods for integral equations (65R20) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Numerical methods for inverse problems for integral equations (65R32)

Cites Work

• Nonlinear total variation based noise removal algorithms
• Sparse Tomography
• An Upwind Finite-Difference Method for Total Variation–Based Image Smoothing
• Multiresolution Parameter Choice Method for Total Variation Regularized Tomography
• Sparsity-promoting Bayesian inversion
• Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
• Nonuniform fast fourier transforms using min-max interpolation
• Stable signal recovery from incomplete and inaccurate measurements
• Total Generalized Variation

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