The Monte Carlo method is a gold standard for ``solving'' the radiative transport equation even in complex geometries and distributions of the optical properties. The exact analytical benchmark provided by the law of the invariant total mean pathlength spent by light injected with uniform Lambertian illumination inside non-absorbing scattering media is used to verify Monte Carlo codes developed for biomedical optics applications. The correctness of an MC code can be assessed with a one-sample t-test. Further, the invariance of the average path length guarantees that the expected value is known regardless of the complexity of the medium. The results obtained show that the accuracy of the estimated average pathlength can be progressively increase as the number of simulated trajectories increases. The method can be applied in total generality versus the scattering and geometrical properties of the medium, as well as in presence of refractive index mismatch between the medium and the external region and between different regions of the medium. The proposed verification method is especially reliable to detect inaccuracies in the treatment of boundaries of finite media. The results presented in this contribution, obtained by a standard computer machine, show a verification of our Monte Carlo code up to the sixth decimal digit. This method can provide a fundamental tool for the verification of Monte Carlo codes in the geometry of interest, without resorting to simpler geometries and uniform distribution of the scattering properties.

Verification test of Monte Carlo codes for biomedical optics applications with arbitrary accuracy / Fabrizio Martelli, Federico Tommasi, Angelo Sassaroli, Lorenzo Fini, Stefano Cavalieri. - ELETTRONICO. - Vol. 12376:(2023), pp. 0-0. (Intervento presentato al convegno Photonic West 2023 tenutosi a San Francisco nel From January 28 to February 2) [10.1117/12.2650577].

Verification test of Monte Carlo codes for biomedical optics applications with arbitrary accuracy

Fabrizio Martelli
;
Federico Tommasi;Angelo Sassaroli;Lorenzo Fini;Stefano Cavalieri
2023

Abstract

The Monte Carlo method is a gold standard for ``solving'' the radiative transport equation even in complex geometries and distributions of the optical properties. The exact analytical benchmark provided by the law of the invariant total mean pathlength spent by light injected with uniform Lambertian illumination inside non-absorbing scattering media is used to verify Monte Carlo codes developed for biomedical optics applications. The correctness of an MC code can be assessed with a one-sample t-test. Further, the invariance of the average path length guarantees that the expected value is known regardless of the complexity of the medium. The results obtained show that the accuracy of the estimated average pathlength can be progressively increase as the number of simulated trajectories increases. The method can be applied in total generality versus the scattering and geometrical properties of the medium, as well as in presence of refractive index mismatch between the medium and the external region and between different regions of the medium. The proposed verification method is especially reliable to detect inaccuracies in the treatment of boundaries of finite media. The results presented in this contribution, obtained by a standard computer machine, show a verification of our Monte Carlo code up to the sixth decimal digit. This method can provide a fundamental tool for the verification of Monte Carlo codes in the geometry of interest, without resorting to simpler geometries and uniform distribution of the scattering properties.
2023
Optical Tomography and Spectroscopy of Tissue XV, Vol. 12376
Photonic West 2023
San Francisco
From January 28 to February 2
Goal 3: Good health and well-being
Fabrizio Martelli, Federico Tommasi, Angelo Sassaroli, Lorenzo Fini, Stefano Cavalieri
File in questo prodotto:
File Dimensione Formato  
123760Q.pdf

Accesso chiuso

Tipologia: Pdf editoriale (Version of record)
Licenza: Tutti i diritti riservati
Dimensione 308.66 kB
Formato Adobe PDF
308.66 kB Adobe PDF   Richiedi una copia

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

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1302859
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact