Electromechanical wave imaging with automated activation mapping

This technology is an electromechanical wave imaging platform for non-invasive, automated generation of cardiac activation sequencing mapping.

Unmet Need: Non-invasive non-ionizing imaging technique for cardiac activation mapping

Current clinical standards for diagnosing cardiac conduction diseases, such as arrythmias, rely on intracardiac electroanatomic mapping (EAM). However, EAM is invasive, time-consuming, and costly. EAM also exposes patients to radiation for probe guidance. As a result, there is a need for cardiac imaging techniques that are non-invasive, low-cost, and radiation-free for early detection of arrhythmogenic sources in the heart and for diagnosis of cardiac diseases.

The Technology: Non-invasive electromechanical wave imaging with unbiased activation map generation

This technology is an electromechanical wave imaging (EWI)-based technique that incorporates a machine learning model into an automated pipeline for ultrasound-based cardiac activation mapping. This EWI-based approach is non-invasive, cost effective, and does not use harmful ionizing radiation. Additionally, the cardiac activation mapping is completely automated, resulting in unbiased and real-time analysis, as all activation map points are processed at once. This technique provides clinicians with early detection and diagnosis of conduction diseases before and during interventional procedures.

Applications:

• Diagnostic tool for heart arrythmias and other conduction diseases
• Implementation with catheter-based electroanatomical mapping
• Monitoring of ventricular and atrial arrhythmias

Advantages:

• Non-invasive
• Automated and unbiased selection algorithm
• No ionizing radiation
• Cost-effective
• Real-time reading

Lead Inventor:

Elisa E. Konofagou, Ph.D.

Patent Information:

Patent Pending (US 20230363736)

Related Publications:

• Melki L, Wang DY, Grubb CS, Weber R, Biviano A, Wan EY, Garan H, Konofagou EE. “Cardiac resynchronization therapy response assessment with electromechanical activation mapping within 24 hours of device implantation: A pilot study.” J Am Soc Echocardiogr. 2021 Jul; 34(7): 757-766.e8.

• Melki L, Tourni M, Konofagou EE. “Electromechanical Wave Imaging with machine learning for automated isochrone generation" IEEE Trans Med Imaging. 2021 Apr 21.

Tech Ventures Reference:

• IR CU21074

• Licensing Contact: Dovina Qu