A Medical Image-Based Computational Framework for Electromagnetic Field Mapping and SAR Estimation in Biological Tissues

It is widely accepted from the universe that magnetic radiation has a vital role to play in the field of medical imaging, such as Magnetic Resonance Imaging (MRI), where radiofrequency electromagnetic fields emitted from the medical instruments interact with tissues of biological objects near the devices. In this re-search work, a problem caused by the Electromagnetic fields and an image-based approach is presented to calculate and evaluate electromagnetic field disseminations using medical images obtained using a triangulation technique. An examination of brain MRI images collected from the publicly available dataset was accomplished and normalized fields of electromagnetic intensity maps were created using the data. Based on the information present in those maps, the RF magnetic field distributions, electric fields, power densities, and specific absorption rates (SARs) were calculated. Later, an examination based on thresholds was engaged to find the regions with high magnetic fields. Results obtained from the research work establish that the exposure to electromagnetic fields in biological tissues is spatially non-uniform, with certain regions demonstrating higher levels of flux and energy absorption. It is important to note that, even though the values obtained from the data are representing relative measurements, they are reliable with known electromagnetic field behavior observed in biological tissues. As a result of the proposed methodology, a practical and operative structure for evaluating and estimating radiation exposure in medical imaging environments is provided.