Monte Carlo simulations and phantom modeling for spatial frequency domain imaging of surgical wound monitoring

Lai Zhang; Alistair Bounds; John Girkin

doi:10.1117/1.JBO.28.12.126003

14 December 2023 Monte Carlo simulations and phantom modeling for spatial frequency domain imaging of surgical wound monitoring

Lai Zhang, Alistair Bounds, John Girkin

Author Affiliations +

Journal of Biomedical Optics, Vol. 28, Issue 12, 126003 (December 2023). https://doi.org/10.1117/1.JBO.28.12.126003

Abstract

Significance

Postoperative surgical wound infection is a serious problem around the globe, including in countries with advanced healthcare systems, and a method for early detection of infection is urgently required.

Aim

We explore spatial frequency domain imaging (SFDI) for distinguishing changes in surgical wound healing based on the tissue scattering properties and surgical wound width measurements.

Approach

A comprehensive numerical method is developed by applying a three-dimensional Monte Carlo simulation to a vertical heterogeneous wound model. The Monte Carlo simulation results are validated using resin phantom imaging experiments.

Results

We report on the SFDI lateral resolution with varying reduced scattering value and wound width and discuss the partial volume effect at the sharp vertical boundaries present in a surgical incision. The detection sensitivity of this method is dependent on spatial frequency, wound reduced scattering coefficient, and wound width.

Conclusions

We provide guidelines for future SFDI instrument design and explanation for the expected error in SFDI measurements.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Lai Zhang, Alistair Bounds, and John Girkin "Monte Carlo simulations and phantom modeling for spatial frequency domain imaging of surgical wound monitoring," Journal of Biomedical Optics 28(12), 126003 (14 December 2023). https://doi.org/10.1117/1.JBO.28.12.126003

Received: 30 July 2023; Accepted: 30 November 2023; Published: 14 December 2023

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KEYWORDS

Scattering

Monte Carlo methods

Tissues

Skin

Wound healing

Spatial frequencies

Modeling

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