Monte Carlo (MC) simulations can adequately describe photon migration in layered media; however, storing and querying the resulting dataset may be computationally prohibitive when detailed path data are needed for each photon trajectory. A heuristic approach that significantly reduces the stored information to the average path length traveled by the photons detected in each layer is proposed. Its accuracy is evaluated by comparing it with the exact time point spread function (TPSF) for a bilayered medium. This method, almost exact for small variations in absorption, is potentially useful to provide a small dataset for lookup tables to be used in inverse problems.

Heuristic absorption calculation in bilayered media from a white Monte Carlo dataset / Amendola, Caterina; Maffeis, Giulia; Negretti, Fabio; Farina, Andrea; Martelli, Fabrizio; Spinelli, Lorenzo. - In: OPTICS LETTERS. - ISSN 0146-9592. - ELETTRONICO. - 50:(2025), pp. 1.0-1.0. [10.1364/ol.540129]

Heuristic absorption calculation in bilayered media from a white Monte Carlo dataset

Martelli, Fabrizio
Supervision
;
2025

Abstract

Monte Carlo (MC) simulations can adequately describe photon migration in layered media; however, storing and querying the resulting dataset may be computationally prohibitive when detailed path data are needed for each photon trajectory. A heuristic approach that significantly reduces the stored information to the average path length traveled by the photons detected in each layer is proposed. Its accuracy is evaluated by comparing it with the exact time point spread function (TPSF) for a bilayered medium. This method, almost exact for small variations in absorption, is potentially useful to provide a small dataset for lookup tables to be used in inverse problems.
2025
50
0
0
Goal 3: Good health and well-being
Amendola, Caterina; Maffeis, Giulia; Negretti, Fabio; Farina, Andrea; Martelli, Fabrizio; Spinelli, Lorenzo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1413993
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