Optimizing quantitative photoacoustic imaging systems: the Bayesian Cramér-Rao bound approach
DOI10.1088/1361-6420/AD910AMaRDI QIDQ6644937
Evan Scope Crafts, Mark A. Anastasio, Umberto Villa
Publication date: 28 November 2024
Published in: Inverse Problems (Search for Journal in Brave)
optimal design of experimentsadjoint-based methodsinfinite-dimensional Bayesian inverse problemsCramér-Rao bound optimizationquantitative photoacoustic computed tomography
Bayesian inference (62F15) Bayesian problems; characterization of Bayes procedures (62C10) Monte Carlo methods (65C05) Numerical computation of solutions to systems of equations (65H10) Smoothness and regularity of solutions to PDEs (35B65) Biomedical imaging and signal processing (92C55) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Ill-posed problems for PDEs (35R25) Inverse problems for PDEs (35R30) Finite element, Rayleigh-Ritz and Galerkin methods for initial value and initial-boundary value problems involving PDEs (65M60) Parallel numerical computation (65Y05) Lasers, masers, optical bistability, nonlinear optics (78A60) Physiological flow (92C35) Numerical methods for inverse problems for initial value and initial-boundary value problems involving PDEs (65M32) Computational methods for problems pertaining to biology (92-08) Numerical methods for ill-posed problems for initial value and initial-boundary value problems involving PDEs (65M30)
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