Frequency Optimization of Electromagnetic Bioimpedance for Non-Invasive Mapping of Cerebral Venous Sinuses

The article presents a comprehensive investigation into the use of a bioimpedance-based method for the non-invasive localization and characterization of major cerebral venous structures, particularly the dural venous sinuses. Emphasis is placed on analyzing the frequency-dependent bioimpedance response within a two-dimensional stratified anatomical model of the head, aiming to differentiate venous blood signals from nearby arterial components. Numerical simulations using a two-electrode configuration explore the spatial distribution of electrical fields and impedance variations to understand the physical principles underlying vessel detection. The methodology aims to contribute toward safer neurosurgical procedures by facilitating accurate vessel mapping and reducing risks associated with venous sinus injury. Future work includes expanding the model to three dimensions for enhanced electrode configuration and localization optimization, advancing the development of radiation-free vascular imaging technologies for clinical application.