On the parameter estimation problem of magnetic resonance advection imaging

DOI10.3934/IPI.2018007zbMath1397.65175OpenAlexW2778365697MaRDI QIDQ1673809

Andreas Neubauer, Henning U. Voss, Ronny Ramlau, Simon Hubmer

Publication date: 14 September 2018

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

Full work available at URL: https://doi.org/10.3934/ipi.2018007

zbMATH Keywords

waveletsregularizationinverse problemsparameter identificationmathematical modellingLandweber iterationsparsityMRIbrain imagingspace-time discretizationcerebral hemodynamicscerebrovascular diseaseMR angiographyNesterov acceleration strategy

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55) System identification (93B30) Medical applications (general) (92C50) Numerical methods for wavelets (65T60) Finite difference methods for initial value and initial-boundary value problems involving PDEs (65M06) Iterative numerical methods for linear systems (65F10) Waves and radiation in optics and electromagnetic theory (78A40) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32)

Related Items (3)

Nesterov’s accelerated gradient method for nonlinear ill-posed problems with a locally convex residual functional ⋮ Lamé Parameter Estimation from Static Displacement Field Measurements in the Framework of Nonlinear Inverse Problems ⋮ A conjugate-gradient approach to the parameter estimation problem of magnetic resonance advection imaging

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