Validating a Simulation Model for Laser-Induced Thermotherapy Using MR Thermometry

TL;DR

This study validates a PDE-based simulation model of laser-induced thermotherapy in porcine liver tissue using MR thermometry data, demonstrating the potential for model validation and parameter identification.

Contribution

It introduces a method to validate and refine thermotherapy models using high-resolution MR thermometry data in ex-vivo tissue experiments.

Findings

MR thermometry data is sufficient for model validation.

The data helps identify missing parameters and applicator placement.

Simulation results closely match experimental temperature distributions.

Abstract

Laser-induced interstitial thermotherapy (LITT) is applied to ex-vivo porcine livers. An artificial blood vessel is used to study the cooling effect of larger blood vessels in proximity to the ablation zone. The same setting is simulated using a model based on partial differential equations (PDEs) for temperature, radiation, and tissue damage. The simulated temperature distributions are compared to temperature data obtained from MR thermometry. The study shows that the quality and resolution of the thermometry data is sufficient to validate and improve modeling approaches. Furthermore, the data can be used to identify missing model parameters as well as the exact placement of the laser applicator in relation to the imaging plane.