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Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics
Published on: December 1, 2023
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MATLAB-based innovative 3D finite element method simulator for optimized real-time hyperthermia analysis
Zain Ul Abdin1, Syed Ahson Ali Shah1, Youngdae Cho1
1Department of Electronic Engineering, Hanyang University, Seoul 04763, South Korea.
Computer Methods and Programs in Biomedicine
|December 14, 2023
Summary
A new real-time hyperthermia simulator (RTHS) was developed for cancer treatment. This cost-effective tool accurately simulates hyperthermia, offering reduced computational time compared to commercial software.
Area of Science:
- Biomedical Engineering
- Computational Modeling
- Medical Physics
Background:
- Hyperthermia enhances chemotherapy and radiotherapy efficacy for malignant tissues.
- Accurate simulation is crucial for optimizing hyperthermia treatment planning.
Purpose of the Study:
- Introduce a real-time hyperthermia simulator (RTHS) using the finite element method (FEM).
- Develop a cost-effective and computationally efficient tool for hyperthermia treatment optimization.
Main Methods:
- Developed an RTHS in MATLAB App Designer with an annular phased array (APA) of dipole antennas.
- Employed a convex optimization algorithm (COA) for precise temperature control at target locations.
- Validated RTHS performance against COMSOL and Sim4Life software.
Main Results:
- RTHS simulations showed high consistency with commercial FEM and FDTD software.
- Demonstrated effectiveness across various target positions in homogeneous and heterogeneous phantom models.
- Achieved high accuracy (93-96%) with reduced computational time and cost-effectiveness.
Conclusions:
- The RTHS is a reliable, cost-effective tool for hyperthermia treatment optimization.
- Its reduced computational demands make it a practical option for clinical applications.
- Further mesh refinement can enhance accuracy at the expense of increased computation time.
