Investigating FBG Sensor Arrangements and Computational Modeling in Photothermal Laser Treatment

Water-agarose phantom can simulate the thermal behavior of human soft tissue and is extensively used in medical applications to replicate thermal responses for various techniques. Specifically, laser ablation (LA) employs light energy to induce damage to cancerous tissues. Accurately modeling temperature distributions is crucial for treatment safety and planning. By combining experimental and computational techniques, this research aims to advance the understanding of LA and optimize its efficacy. Integrating Fiber Bragg Grating sensors (FBGs)-based temperature monitoring and computational modeling offers valuable insights into temperature distribution and treatment outcomes, ultimately contributing to the development of improved protocols for cancer therapy. In this study, two specific arrangement setups of FBGs were experimentally investigated, leading to improved result reproducibility employing customized support for sensor positioning.