Biosense Webster (Israel) Ltd.

Biosense Webster, Inc.

Leonid Zaides

Eliyahu Ravuna

Elad Nakar

Lior Zar

Fady Massarwi

Natan Sharon Katz

Benjamin Cohen

Assaf Cohen

Fady Massarwa

Refael Itah

Yoav Benaroya

Sigal Altman

Jonathan Yarnitsky

Lior Greenbaum

Nir Yanovich

Natalia Etin Zait

Gal Bar Zohar

Meytel Segev

A method includes receiving a plurality of data points including electrical activation (EA) values measured at respective positions in at least a portion of a surface of a cardiac chamber of a heart of a patient. Using a predefined EA value criterion, the EA values in a given region of the cardiac surface are classified into multiple distinct EA wave-fronts, and multiple layers of EA values are calculated for the given region, wherein each EA layer includes the EA values found to belong to a respective and contiguous EA wave-front. The multiple EA layers are overlayed on a graphical representation of the surface. The graphical representation with the multiple overlaid EA layers is displayed to a user, with a graphical indication distinguishing between the multiple EA layers.

Layered multi-activation local activation times (LAT) mapping

A method for generating a skeleton in an image of a cavity of an organ of a body includes receiving a map of the cavity, the map including surface voxels and interior voxels. A subset of the interior voxels is generated, of candidate locations to be on the skeleton. The subset is pruned by removing outlier candidate locations. Using a geometrical model including a statistical model, the candidate locations remaining in the pruned subset are spatially compressed. The compressed candidate locations are connected to produce one or more centerlines of the skeleton. At least the skeleton is displayed to user.

Skeletonization of medical images from incomplete and noisy voxel data

Disclosed are systems and methods for visualization of pulsed field ablation tags. In some implementations, a system includes a device, comprising a processor in communication with one or more sensors and a catheter comprising a plurality of electrodes. In some implementations, the processor is configured to: receive, via the one or more sensors, a position of each of the plurality of electrodes within a three-dimensional environment during a first ablation session; calculate, for the first ablation session, a first implicit function representing an energy field of the first ablation session from the received positions of each of the plurality of electrodes; and present, via a display, a first volumetric representation of the calculated first implicit function.

Using signed distance functions to visualize pulsed field ablation (PFA) tags

A method includes, based on respective signals acquired by a plurality of electrodes on an anatomical surface of a heart, computing respective local activation times (LATs) at respective locations of the electrodes. The method further includes, based on the LATs, computing respective directions of electrical propagation at the locations. The method further includes selecting pairs of adjacent ones of the electrodes such that, for each of the pairs, a vector joining the pair is aligned, to within a predefined threshold degree of alignment, with the direction of electrical propagation at the location of one of the electrodes belonging to the pair. The method further includes associating respective bipolar voltages measured by the pairs of electrodes with a digital model of the anatomical surface. Other examples are also described.

Computing local propagation velocities in real-time

In an example, a method includes receiving a cardiac signal that is sensed by an electrode at a tissue location inside the heart. Fractionations are identified in the cardiac signal. The fractionations identified at the tissue location are compared between first and second cardiac cycles of the cardiac signal. Based on the comparing, a likelihood is estimated, that the tissue location is causing a stable arrhythmia. Based on the estimated likelihood, the tissue location is indicated to a user as likely to be causing the stable arrhythmia.

Detection of fractionated signals in stable arrhythmias

A system and method for clustering wavefront signals in an electrophysiological map of a cardiac tissue are provided. The system and method include receiving an electrophysiological map of the cardiac tissue, displaying propagation of the wavefront signals as a plurality of velocity vectors, discretizing the received electrophysiological map into a plurality of sections, clustering the velocity vectors into at least one group within each section based on predefined criteria, and generating a trend line representative of each group of clustered velocity vectors within each section in the electrophysiological map.

Systems and methods for clustering wavefront signals in electrophysiological maps

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Atlit, Israel

Leonid Zaides