Modeling and optimization of system parameters for small animal fluorescence lifetime tomography

Murali K.; Rahul Pal; Anand T.N. Kumar

doi:10.1117/12.2650768

7 March 2023 Modeling and optimization of system parameters for small animal fluorescence lifetime tomography

Murali K., Rahul Pal, Anand T.N. Kumar

Proceedings Volume PC12376, Optical Tomography and Spectroscopy of Tissue XV; PC123760O (2023) https://doi.org/10.1117/12.2650768
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

To accurately reconstruct fluorophore concentrations in-vivo in fluorescence lifetime-based tomography, it is necessary to accurately model and optimize, both the propagation of light in tissue in complex geometries and the system parameters involved in the entire optical chain from the source to the detector. This paper proposes a comprehensive methodology for accurately modelling a time domain tomography system along entire the optical chain, including the time-gated intensifier. Based on this modelling, we optimize the system parameters to obtain signals with high SNR at a faster acquisition rate. We validate the model using simulations and in-vivo experimental studies.

Conference Presentation

Citation Download Citation

Murali K., Rahul Pal, and Anand T.N. Kumar "Modeling and optimization of system parameters for small animal fluorescence lifetime tomography", Proc. SPIE PC12376, Optical Tomography and Spectroscopy of Tissue XV, PC123760O (7 March 2023); https://doi.org/10.1117/12.2650768

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