A Hybrid Reconstruction Approach for Absorption Coefficient by Fluorescence Photoacoustic Tomography
Chao Wang, Tie Zhou

TL;DR
This paper introduces a hybrid reconstruction method for absorption coefficients in fluorescence photoacoustic tomography, combining iterative and optimization techniques for improved speed and accuracy, especially in multi-measurement scenarios.
Contribution
The paper presents a novel hybrid approach that integrates a squeeze iterative method with nonlinear optimization for enhanced absorption coefficient reconstruction in FPAT.
Findings
Faster convergence than pure optimization in multi-measurement cases
Higher accuracy in single-measurement scenarios
Effective for multi-measurement data
Abstract
In this paper, we propose a hybrid method to reconstruct the absorption coefficient by fluorescence photoacoustic tomography (FPAT), which combines a squeeze iterative method (SIM) and a nonlinear optimization method. The SIM is to use two monotonic sequences to squeeze the exact coefficient, and it quickly locates near the exact coefficient. The nonlinear optimization method is utilized to attain a higher accuracy. The hybrid method inherits the advantages of each method with higher accuracy and faster convergence. The hybrid reconstruction method is also suitable for multi-measurement. Numerical experiments show that the hybrid method converges faster than the optimization method in multi-measurement case, and that the accuracy is also higher in one-measurement case.
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