Development of Advanced FEM Simulation Technology for Pre-Operative Surgical Planning
<|reference_start|>Development of Advanced FEM Simulation Technology for Pre-Operative Surgical Planning: Intracorporeal needle-based therapeutic ultrasound (NBTU) offers a minimally invasive approach for the thermal ablation of malignant brain tumors, including both primary and metastatic cancers. NBTU utilizes a high-frequency alternating electric field to excite a piezoelectric transducer, generating acoustic waves that cause localized heating and tumor cell ablation, and it provides a more precise ablation by delivering lower acoustic power doses directly to targeted tumors while sparing surrounding healthy tissue. Building on our previous work, this study introduces a database for optimizing pre-operative surgical planning by simulating ablation effects in varied tissue environments and develops an extended simulation model incorporating various tumor types and sizes to evaluate thermal damage under trans-tissue conditions. A comprehensive database is created from these simulations, detailing critical parameters such as CEM43 isodose maps, temperature changes, thermal dose areas, and maximum ablation distances for four directional probes. This database serves as a valuable resource for future studies, aiding in complex trajectory planning and parameter optimization for NBTU procedures. Moreover, a novel probe selection method is proposed to enhance pre-surgical planning, providing a strategic approach to selecting probes that maximize therapeutic efficiency and minimize ablation time. By avoiding unnecessary thermal propagation and optimizing probe angles, this method has the potential to improve patient outcomes and streamline surgical procedures. Overall, the findings of this study contribute significantly to the field of NBTU, offering a robust framework for enhancing treatment precision and efficacy in clinical settings.<|reference_end|>
@article{zhao2024development,
    title={Development of Advanced FEM Simulation Technology for Pre-Operative
  Surgical Planning},
    author={Zhanyue Zhao, Yiwei Jiang, Charles Bales, Yang Wang, Gregory Fischer},
    journal={arXiv preprint arXiv:2409.03990},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.03990},
    primaryClass={physics.med-ph cs.RO}
}