Ventricular surface activation time imaging from electrocardiogram mapping data

Area of Science:

• Cardiology
• Biomedical Engineering
• Medical Imaging

Background:

• Non-invasive cardiac electrophysiology imaging offers insights into electrical excitation.
• The electrocardiographic inverse problem is complex and ill-posed.

Purpose of the Study:

• To evaluate non-invasive ventricular activation time (AT) imaging in sinus rhythm.
• To quantify localization error in non-invasive AT imaging for conditions like Wolff-Parkinson-White (WPW) syndrome.
• To assess the clinical applicability of non-invasive AT imaging for focal events.

Main Methods:

• Applied an iterative algorithm with general regularization for non-linear, ill-posed problems.
• Utilized Hilbert scales for the electrocardiographic inverse problem to image ventricular surface AT maps.
• Tested the method on electrocardiographic data from a healthy volunteer and a WPW patient.

Main Results:

• Successfully imaged ventricular surface activation time (AT) maps.
• Localized the accessory pathway in a WPW patient with 5 mm accuracy.
• Localized a left ventricle pacing site with 8 mm accuracy.
• Demonstrated sufficient accuracy for potential clinical application in reconstructing focal events.

Conclusions:

• Non-invasive AT imaging can accurately reconstruct cardiac electrical activity.
• The method shows promise for clinical diagnosis and localization of cardiac abnormalities.
• This approach may enable precise localization of accessory pathways and pacing sites.