Bregman methods in quantitative photoacoustic tomography
نویسندگان
چکیده
The Bregman method is utilized to quantitatively improve the simultaneous reconstruction of absorption and scattering coefficients for both Jacobian-based and gradient-based methods in quantitative photoacoustic tomography with multiple optical excitations. It is the synergistic combination of Bregman method and the total-variation regularization in achieving the desired quantitative improvement. In particular, the Bregman method is directly applied to the minimization of the nonlinear and nonconvex functional in the gradient-based method, which is efficiently solved via split Bregman method with limited-memory BFGS as inner loops. We show in simulations the feasibility of 3D simultaneous reconstruction.
منابع مشابه
Quantitative Photoacoustic Tomography
This chapter focuses on quantitative photoacoustic tomography to recover optical maps from the deposited optical energy. After a brief overview of models, theories and algorithms, we provide an algorithm for large-scale 3D reconstructions, so-called gradient-based bound-constrained split Bregman method (GBSB).
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