The Johns Hopkins University

Amir Pourmorteza

Elliot R McVeigh

Albert Clark Lardo

Karl H Schuleri

Fady Dawoud

Elliot Ross Mcveigh

The present invention is directed to a method for combining assessment of different factors of dyssynchrony into a comprehensive, non-invasive toolbox for treating patients with a CRT therapy device. The toolbox provides high spatial resolution, enabling assessment of regional function, as well as enabling derivation of global metrics to improve patient response and selection for CRT therapy. The method allows for quantitative assessment and estimation of mechanical contraction patterns, tissue viability, and venous anatomy from CT scans combined with electrical activation patterns from Body Surface Potential Mapping (BSPM). This multi-modal method is therefore capable of integrating electrical, mechanical, and structural information about cardiac structure and function in order to guide lead placement of CRT therapy devices. The method generates regional electro-mechanical properties overlaid with cardiac venous distribution and scar tissue. The fusion algorithm for combining all of the data suggests cardiac segments and routes for implantation of epicardial pacing leads.

Imaging toolbox for guiding cardiac resynchronization therapy implantation from patient-specific imaging and body surface potential mapping data

An embodiment in accordance with the present invention provides a method and system for evaluating regional cardiac function and dyssynchrony from an imaging modality using the motion of endocardial features of the heart. In the method and system, an imaging modality such as a CT scanner is used to obtain an image sequence that is then processed using a computer program. The computer program is configured to create an endocardial mesh formed from triangular components that represents at least the region of interest of the subject's heart. From tracking the motion of conserved topological features on this endocardial mesh at least two time points a displacement map can be modeled. The displacement map can be further analyzed to determine metrics of regional cardiac function such as SQUEEZ, myocardial strain, torsion etc., and the displacement map can also be used to create visual representations of the function of the subject's heart.

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Baltimore, MD, United States of America

Amir Pourmorteza