A heterogeneous tissue model for treatment planning for magnetic resonance-guided laser interstitial thermal therapy.
A heterogeneous tissue model for treatment planning for magnetic resonance-guided laser interstitial thermal therapy.
Int J Hyperthermia. 2018 Jan 17;:1-35
Authors: Mitchell D, Fahrenholtz S, MacLellan C, Bastos D, Rao G, Prabhu S, Weinberg J, Hazle J, Stafford J, Fuentes D
Abstract
We evaluated a physics-based model for planning for magnetic resonance-guided laser interstitial thermal therapy for focal brain lesions. Linear superposition of analytical point source solutions to the steady-state Pennes bioheat transfer equation simulates laser-induced heating in brain tissue. The line integral of the photon attenuation from the laser source enables computation of the laser interaction with heterogeneous tissue. Magnetic resonance thermometry data sets (n = 31) were used to calibrate and retrospectively validate the model's thermal ablation prediction accuracy, which was quantified by the Dice similarity coefficient (DSC) between model-predicted and measured ablation regions (T > 57°C). A Gaussian mixture model was used to identify independent tissue labels on pretreatment anatomical magnetic resonance images. The tissue-dependent optical attenuation coefficients within these labels were calibrated using an interior point method that maximizes DSC agreement with thermometry. The distribution of calibrated tissue properties formed a population model for our patient cohort. Model prediction accuracy was cross-validated using the ...
Source: International Journal of Hyperthermia - Category: Internal Medicine Tags: Int J Hyperthermia Source Type: research