Sparsity and level set regularization for diffuse optical tomography using a transport model in 2D
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Publication:2971434
DOI10.1088/0266-5611/33/1/014001zbMath1361.65104OpenAlexW2554655530MaRDI QIDQ2971434
Publication date: 5 April 2017
Published in: Inverse Problems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1088/0266-5611/33/1/014001
inverse problemnumerical experimentradiative transfer equationreconstruction algorithmsdiffuse optical tomographyinverse transport problemslevel set regularizationsparsity promoting regularization nonlinear Kaczmarz method
Numerical methods for integral equations (65R20) Integro-partial differential equations (45K05) Biomedical imaging and signal processing (92C55) Numerical methods for inverse problems for integral equations (65R32) Inverse problems for integral equations (45Q05)
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Shape reconstruction in seismic full waveform inversion using a level set approach and time reversal ⋮ Sparsest representations and approximations of an underdetermined linear system ⋮ Online learning in optical tomography: a stochastic approach ⋮ Parametric level-set inverse problems with stochastic background estimation ⋮ A projective averaged Kaczmarz iteration for nonlinear ill-posed problems ⋮ A level-set approach based on reaction–diffusion equation applied to inversion problems in acoustic wave propagation ⋮ Colour level set regularization for the electromagnetic imaging of highly discontinuous parameters in 3D ⋮ Edge-guided TV p regularization for diffuse optical tomography based on radiative transport equation ⋮ Sparsity and level set regularization for near-field electromagnetic imaging in 3D ⋮ A projective two-point gradient Kaczmarz iteration for nonlinear ill-posed problems ⋮ A MODEL ON BACTERIAL RESISTANCE CONSIDERING A GENERALIZED LAW OF MASS ACTION FOR PLASMID REPLICATION
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