Fast and accurate Monte Carlo simulations of subdiffusive spatially resolved reflectance for a realistic optical fiber probe tip model aided by a deep neural network

Zelinskyi, Yevhen (avtor), Naglič, Peter (avtor), Pernuš, Franjo (avtor), Likar, Boštjan (avtor), Bürmen, Miran (avtor)

In this work, we introduce a framework for efficient and accurate Monte Carlo (MC) simulations of spatially resolved reflectance (SRR) acquired by optical fiber probes that account for all the details of the probe tip including reflectivity of the stainless steel and the properties of the epoxy fill and optical fibers. While using full details of the probe tip is essential for accurate MC simulations of SRR, the break-down of the radial symmetry in the detection scheme leads to about two orders of magnitude longer simulation times. The introduced framework mitigates this performance degradation, by an efficient reflectance regression model that maps SRR obtained by fast MC simulations based on a simplified probe tip model to SRR simulated using the full details of the probe tip. We show that a small number of SRR samples is sufficient to determine the parameters of the regression model. Finally, we use the regression model to simulate SRR for a stainless steel optical probe with six linearly placed fibers and experimentally validate the framework through the use of inverse models for estimation of absorption and reduced scattering coefficients and subdiffusive scattering phase function quantifiers.

• Jezik: Angleški jezik
• Ključne besede: light propagation model, Monte Carlo simulations, absorption, subdiffusive spatially resolved reflectance, optical fiber probe, deep neural networks, deep learning
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: FE - Fakulteta za elektrotehniko
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2020
• Št. strani: Str. 3875-3889
• Številčenje: Vol. 11, no. 7, art. 391163
• PID: 20.500.12556/RUL-128814
• UDK: 535:004.8
• ISSN pri članku: 2156-7085
• DOI: 10.1364/BOE.391163
• COBISS.SI-ID: 26951939

Avtorske pravice

V članku navedeno: "© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement"; s povezavo https://www.osapublishing.org/library/license_v1.cfm. (3. 8. 2021)

• Datum objave v RUL: 03.08.2021

Gradivo je del revije

• Naslov: Biomedical optics express
• Skrajšan naslov: Biomed. opt. express
• Založnik: Optica
• ISSN: 2156-7085
• COBISS.SI-ID: 24857383

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: model širjenja svetlobe, simulacije Monte Carlo, subdifuzijska prostorsko razločena reflektanca, absorpcija, optična sonda, nevronske mreže, globoko učenje