An analytic approximation of the distribution functions of scattering events occurring during photon migration in scattering media is proposed. This allows extending the range of applicability of scaling relations for scattering coefficient to generate new simulations starting from an existing Monte Carlo simulation. Time Point Spread Functions for a uniform variation in the scattering coefficient up to ±50% are calculated by using the analytic approximation of the scattering event distribution functions and compared with the the exact Monte Carlo simulations: the largest deviations from time point spread functions directly obtained by Monte Carlo simulations occur for late arrival times and are ≲ 50%.
Extending application limits of scaling relations for time-resolved Monte Carlo simulations in diffuse optics / Spinelli, Lorenzo; Farina, Andrea; Pifferi, Antonio; Torricelli, Alessandro; Sassaroli, Angelo; Martelli, Fabrizio. - In: PROGRESS IN BIOMEDICAL OPTICS AND IMAGING. - ISSN 1605-7422. - ELETTRONICO. - 13314:(2025), pp. 0-0. (Intervento presentato al convegno Optical Tomography and Spectroscopy of Tissue XVI 2025 tenutosi a usa nel 2025) [10.1117/12.3042911].
Extending application limits of scaling relations for time-resolved Monte Carlo simulations in diffuse optics
Spinelli, Lorenzo;Sassaroli, Angelo;Martelli, Fabrizio
2025
Abstract
An analytic approximation of the distribution functions of scattering events occurring during photon migration in scattering media is proposed. This allows extending the range of applicability of scaling relations for scattering coefficient to generate new simulations starting from an existing Monte Carlo simulation. Time Point Spread Functions for a uniform variation in the scattering coefficient up to ±50% are calculated by using the analytic approximation of the scattering event distribution functions and compared with the the exact Monte Carlo simulations: the largest deviations from time point spread functions directly obtained by Monte Carlo simulations occur for late arrival times and are ≲ 50%.File | Dimensione | Formato | |
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