Executive Summary : | Millimeter wave has found its application in various biomedical solutions. In these applications, the dosimetry studies play an important role because compliance to the safety standards can be ensured if and only if the effect of the radiation on the human body is studied beforehand. For example, the biomedical diagnostic and treatments for cancer (such as Hyperthermia, Ablation, Heating or imaging) require strategic studies based on computer-aided techniques and simulations to support the experimental studies in their respective fields. The basic methodology of these studies includes the characterization of the incident, scattered or absorbed radiofrequency field on some anthropomorphic model, e.g., physical phantoms or computational model. Compared to physical phantoms, which are highly uncertain due to temperature dependency, frequency dependency and poor approximation, computational models have become the most chosen and acceptable way to test the efficacy of any radio-frequency based technology. The existing computational models are very specific to the application and very few for millimeter wave technologies. Therefore, the objective of this proposal is to design and develop a generic anthropomorphic model with known characteristics in terms of the uncertainty contributed to the dosimetry study irrespective of the application in particular. The proposed study aims to visualize the millimeter wave exposure effect on the human body using the simulations and computer science-aided studies. In the proposed project, the data of the dielectric properties, human anatomical structure, layered model and heterogeneity will be collected from the available sources. To overcome the complexities of the human body structure, the computational domain will be discretized logically and the hybrid numerical method will be applied. The physics informed learning model will be implemented for the solution of the involved partial differential equations and validation of the computational model. This study will enable the study of millimeter wave radiation dosimetry, its effect on human beings, and the application in better and safer millimeter wave based biological treatments such as for cancer detection and diagnosis. In addition, the study will solve the existing technical controversies regarding the use of millimeter in biomedical applications. |