Successful use of lasers in medical procedures relies on the ability to understand and control the interactions that occur between laser light and the tissue being treated. In this talk, we present a computational framework using nonlinear filtering and thermal sensor technology to estimate the physical properties governing the thermal response of laser-irradiated tissue. These properties include the light absorption and scattering coefficients, which are vital in correctly planning medical laser treatments. With several computed examples, we demonstrate the ability of the proposed approach to identify the tissue physical properties and track dynamic changes in their values during laser exposure.
Tracking Changes in Tissue Physical Properties During Thermal Laser-Tissue Interactions via Nonlinear Filtering
Andrea Arnold, Worcester Polytechnic Institute
2023 AWM Research Symposium
Application of Monte Carlo Methods to Real-World Problems [Organized by Francesca Bernardi and Andrea Arnold]