Imaging Heart Motion Using Differential Scattering Parameters: An AI-Based Approach

Motivation: Enable accessible and patient-friendly monitoring of cardiovascular mechanical function. Goal(s): Assess the feasibility of cardiac imaging using the scattering parameters of an RF antenna array. Approach: An MRI-inspired reconstruction network was trained on a hybrid dataset consisting of both measured and simulated data. The method predicts 3D reconstructions of heart motion and estimates key clinical parameters. It was tested against MRI using measured differential scattering parameters from healthy volunteers and synthetic data from patient-specific heart models. Results: Preliminary in-vivo results demonstrate the effectiveness of this approach in reconstructing heart motion and in predicting stroke volume and ejection fraction from RF scattering measurements. Impact: RF-based imaging offers the potential for patient friendly and accessible cardiac imaging, with potential applications in continuous cardiovascular health monitoring, including heart failure management.