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Updated: Jun 13, 2025

Author Spotlight: Advancing Human Brain Modulation – Optimized Protocols for Transcranial Ultrasound Stimulation Experiments
Published on: June 28, 2024
Deep Brain Ultrasound Ablation Thermal Dose Modeling with in Vivo Experimental Validation
Zhanyue Zhao1, Benjamin Szewczyk1,2, Matthew Tarasek3
1Worcester Polytechnic Institute, Worcester, MA.
Needle-based therapeutic ultrasound (NBTU) offers a minimally invasive approach for brain tumor thermal ablation. Advanced finite element method simulations accurately predict thermal dose and ablated volume, validating experimental findings for improved treatment efficacy.
Area of Science:
- Neurosurgery
- Biomedical Engineering
- Medical Physics
Background:
- Intracorporeal needle-based therapeutic ultrasound (NBTU) is a minimally invasive technique for thermal ablation of malignant brain tumors.
- The technique uses high-frequency ultrasound to generate localized heating, inducing rapid cell death in cancerous tissues.
- Accurate modeling is crucial for optimizing transducer design and predicting thermal dose delivery.
Purpose of the Study:
- To develop and validate an enhanced finite element method (FEM) simulation for NBTU in brain tumors.
- To improve the evaluation of thermal damage and therapeutic efficacy compared to previous models.
- To assess the accuracy of the FEM simulation against experimental data from magnetic resonance thermal imaging (MRTI).
Main Methods:
- Numerical modeling of the acoustic pressure field generated by piezoelectric transducers.
- Simulation of bioheat transfer to track thermal propagation during treatment.
- Experimental validation using magnetic resonance thermal imaging (MRTI).
- Development of a new FEM simulation with enhanced damage evaluation capabilities.
Main Results:
- MRTI validation demonstrated the feasibility of the initial model, showing consistent thermal propagation.
- The enhanced FEM simulation showed good agreement with experimental results.
- Differences in peak temperature and ablated volume were within acceptable ranges (3.71% and 5.74%, respectively).
- Pearson correlation coefficient (0.7117) and Dice coefficient (0.7021) indicated good accuracy for peak temperature and ablated area.
Conclusions:
- The enhanced FEM simulation provides a more accurate prediction of thermal dose and ablated volume in brain tumors treated with NBTU.
- This advanced modeling approach aids in optimizing NBTU treatment planning and evaluating therapeutic efficacy.
- The simulation's accuracy supports its use for refining NBTU transducer design and treatment protocols.
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