The Johns Hopkins University

Sohail Zahid

Natalia A Trayanova

Patrick M Boyle

Adityo Prakosa

A computer-implemented method for non-invasively identifying ablation locations in atrial tissue, can include: receiving three-dimensional imaging data representing atrial tissue of a left atrial flutter (LAFL) subject; generating a subject-specific model of the at least one of the atrial tissue from the three-dimensional imaging data; estimating tissue fiber orientations in the atrial tissue; assigning the estimated tissue fiber orientations to the subject-specific model of the atrial tissue; conducting simulations of LAFL using the subject-specific model to identify regions of slow conduction of a propagating wave within an atrial tissue region of the atrial tissue; a critical isthmus of a rotational wavefront within the atrial tissue region; or a region based on a minimum cut in a flow network; and identifying at least one ablation location in the atrial tissue region based on the identified regions of slow conduction, the critical isthmus, or the minimum cut.

Systems and methods for simulation prediction of targets for catheter ablation of left atrial flutter in patients with atrial structural remodeling

According to some embodiments of the invention, a method for providing an atrial fibrillation (AF) ablation treatment plan includes receiving imaging data for at least a portion of an atrial region of a subject's heart, and processing the imaging data to characterize tissue as one of fibrotic tissue or non-fibrotic tissue. The method further includes calculating a metric of spatial distribution of at least a portion of the tissue characterized as fibrotic tissue from the processing the imaging data, identifying a cardiac tissue ablation target based on the metric, and providing an AF treatment plan that includes the cardiac tissue ablation target as at least a portion of the AF treatment plan.

Systems and methods for atrial fibrillation treatment and risk assessment

A system, computer-readable medium and method can include receiving three-dimensional imaging data of a subject's heart, the subject having an ICD, wherein the ICD causes an imaging artifact in the three-dimensional imaging data that includes regions that are free of the artifact and regions that are affected by the artifact; segmenting the regions that are free of the artifact into a plurality of normal tissue regions and remodeled tissue regions for the subject; extrapolating from the regions that are free of the artifact to provide extrapolated three-dimensional imaging data corresponding to the regions that are affected by the artifact; and simulating at least one of electrophysiological or electromechanical activity of the subject's heart using the segmented and extrapolated three-dimensional imaging data, the simulating including providing a preselected alteration of electrophysiological or electromechanical behavior of the subject's heart for a target of said subject-specific cardiac ablation procedure.

Systems and methods for patient-specific modeling of the heart for prediction of targets for catheter ablation of ventricular tachycardia in patients with implantable cardioverter defibrillators

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Baltimore, MD, United States of America

Sohail Zahid