NANAJun 19, 2018

A Hybrid Reconstruction Approach for Absorption Coefficient by Fluorescence Photoacoustic Tomography

arXiv:1806.070865 citationsh-index: 7
AI Analysis

This work addresses the need for efficient and accurate reconstruction in FPAT, a domain-specific imaging problem, with incremental improvements over existing methods.

The paper proposes a hybrid method combining a squeeze iterative method and nonlinear optimization to reconstruct absorption coefficients in fluorescence photoacoustic tomography, achieving faster convergence and higher accuracy than individual methods.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes