Finite Element Modeling of scattered electromagnetic waves for stroke analysis

Area of Science:

• Biomedical Engineering
• Electromagnetics
• Medical Imaging

Background:

• Stroke is a leading cause of mortality and neurological dysfunction globally.
• Current diagnostic methods (CT, MRI, Angiography) are slow, expensive, and not portable.
• Microwave technology offers potential for sensitive detection of tissue differences, including blood.

Purpose of the Study:

• To investigate the feasibility of diagnosing stroke types using Finite Element Analysis (FEA).
• To develop a microwave-based method for stroke diagnosis.
• To assess the effectiveness of FEA in analyzing electromagnetic fields in a simulated stroke scenario.

Main Methods:

• A simulated head phantom with stroke characteristics was created.
• The phantom was subjected to an electromagnetic field at 1 GHz using a dipole antenna.
• Finite Element Analysis (FEA) was used to solve the Maxwell's wave equation for the forward problem.
• The Contrast Source Inversion (CSI) method was applied to solve the inverse scattering problem and reconstruct dielectric properties.

Main Results:

• The study successfully simulated the electromagnetic field interactions within a head phantom.
• The Contrast Source Inversion (CSI) method was employed to reconstruct the dielectric profile.
• FEA enabled the computation of scattered electromagnetic fields, crucial for dielectric property reconstruction.

Conclusions:

• Finite Element Analysis (FEA) shows promise for diagnosing stroke using microwave technology.
• This approach could lead to faster, more cost-effective, and portable stroke diagnostic tools.
• Further research is warranted to validate this method in clinical settings.