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

Farina A.;Spinelli L.
Ultimo
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
Istituto di fotonica e nanotecnologie - IFN - Sede Milano
Photon migration
Monte Carlo methods
Absorption
Diffusive media
Absorption
File in questo prodotto:
File Dimensione Formato  
Amendola_OL_2025.pdf

accesso aperto

Tipologia: Versione Editoriale (PDF)
Licenza: Creative commons
Dimensione 3.11 MB
Formato Adobe PDF
3.11 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/535080
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact