Case-Specific Focal Sensor Design for Cardiac Electrical Impedance Tomography

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Electrical Engineering

Background:

• Electrical impedance tomography (EIT) is a non-invasive imaging modality that reconstructs internal conductivity distributions from boundary measurements.
• In thoracic EIT, cardiac activity causes conductivity changes localized to the heart region, posing challenges for high-resolution imaging.

Purpose of the Study:

• To develop and validate sensor optimization methods for improving the spatial resolution of heart imaging using EIT.
• To enhance the accuracy and visualization of cardiac electrical activity and position within the thoracic cavity.

Main Methods:

• Proposed two novel sensor optimization techniques based on conformal mapping theory.
• Validated the proposed methods through numerical simulations and phantom experiments.
• Evaluated image quality using qualitative analysis and quantitative indices.

Main Results:

• The optimized sensor models demonstrated superior imaging accuracy of the heart region compared to standard sensor configurations.
• Reconstructed images effectively captured the dynamic diastolic and systolic movements of the heart.
• Improved ability to accurately localize the heart's position within the thoracic cavity.

Conclusions:

• The proposed conformal mapping-based sensor optimization significantly enhances EIT's spatial resolution for cardiac imaging.
• This advancement enables more precise, non-invasive monitoring of heart dynamics and position.