Quantitative Photoacoustic Tomography

DOI10.1007/978-3-642-22990-9_5zbMath1345.92087OpenAlexW311663650MaRDI QIDQ2820356

Hao Gao, Stanley J. Osher, Hong-Kai Zhao

Publication date: 15 September 2016

Published in: Lecture Notes in Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-22990-9_5

zbMATH Keywords

quantitative photoacoustic tomography3D reconstructionsgradient-based bound-constrained split Bregman method

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Hydro- and aero-acoustics (76Q05)

Related Items (16)

Algorithms that satisfy a stopping criterion, probably ⋮ Efficient Inclusion of Total Variation Type Priors in Quantitative Photoacoustic Tomography ⋮ Inverse transport problems in quantitative PAT for molecular imaging ⋮ Nonlinear material decomposition using a regularized iterative scheme based on the Bregman distance ⋮ Inverse Transport and Diffusion Problems in Photoacoustic Imaging with Nonlinear Absorption ⋮ Quantitative thermoacoustic tomography with microwaves sources ⋮ On iterative algorithms for quantitative photoacoustic tomography in the radiative transport regime ⋮ Direct algorithm for reconstructing small absorbers in thermoacoustic tomography problem from a single data ⋮ Nonlinear Quantitative Photoacoustic Tomography with Two-Photon Absorption ⋮ Approximate marginalization of unknown scattering in quantitative photoacoustic tomography ⋮ Characterizing Impacts of Model Uncertainties in Quantitative Photoacoustics ⋮ Disjoint sparsity for signal separation and applications to hybrid inverse problems in medical imaging ⋮ Photo-acoustic tomography in the rotating setting ⋮ Image reconstruction for diffuse optical tomography based on radiative transfer equation ⋮ Sparse reconstruction of log-conductivity in current density impedance tomography ⋮ Direct quantitative photoacoustic tomography for realistic acoustic media

Uses Software

• LANCELOT
• CUDA

Cites Work

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