Huygens Principle-based Microwave Brain Imaging through Finite Difference Time Domain

This paper investigates the application of Huygens principle (HP) in brain imaging. We employ simulation techniques, specifically the Finite Difference Time Domain (FDTD) method, in order to comprehensively evaluate the efficacy of this methodology in detecting strokes within the brain. The FDTD method is particularly noteworthy due to its straightforward implementation and high level of accuracy. Moreover, its compatibility with time domain analysis allows us to effectively incorporate time-varying sources. In order to demonstrate the effectiveness of HP procedure, we examine various scenarios in our simulations. The results provide compelling evidence of the considerable potential of HP imaging for the brain, highlighting its adaptability for a wide range of applications. These research findings yield valuable insights into the possibilities of using HP for brain imaging, laying the foundation for future advancements and innovation in the field of brain imaging for stroke detection.