Multigrid-based reconstruction algorithm for quantitative photoacoustic tomography
Shengfu Li1, Bruno Montcel2, Zhen Yuan3
1Université de Lyon, CREATIS ; CNRS UMR5220 ; Inserm U1044 ; INSA-Lyon ; Université Lyon 1, France ; HIT-INSA Sino French Research Center for Biomedical Imaging, Harbin Institute of Technology, Harbin 150001, China.
Abstract:
This paper proposes a multigrid inversion framework for quantitative photoacoustic tomography reconstruction. The forward model of optical fluence distribution and the inverse problem are solved at multiple resolutions. A fixed-point iteration scheme is formulated for each resolution and used as a cost function. The simulated and experimental results for quantitative photoacoustic tomography reconstruction show that the proposed multigrid inversion can dramatically reduce the required number of iterations for the optimization process without loss of reliability in the results.
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