Biosense Webster (Israel) Ltd.

Biosense Webster, Inc.

Alon Baram

Meir Bar-Tal

Avram Dan Montag

Gal Hayam

Shmuel Auerbach

Assaf Cohen

Lior Botzer

Morris Ziv-Ari

Shiran Eliyahu

Itai Doron

Alona Sigal

Moshe Safran

Zvi Friedman

Ana Kaufman

Meir Bartal

A method is provided. The method includes receiving, by a reconstruction engine executed by processors, inputs respective to an anatomical structure and computing, by a model-based fast anatomical mapping of the reconstruction engine, an initial transformation that selects parametric model that best fits the inputs. The method further includes executing, by the model-based fast anatomical mapping, an iterative optimization. The iterative optimization include constructing a statistical prior based on the parametric model and applying the parametric model to the inputs and the statistical prior to produce an isosurface of the anatomical structure. The method further includes generating, by the reconstruction engine, an output including the isosurface.

Anatomically correct reconstruction of an atrium

A method is described herein. The method is implemented by an optimization engine executed by a processor. The optimization engine receives data that includes performance metrics of mapping and ablation procedures. In turn, the optimization generates procedure expected outcomes for the mapping and ablation procedures based on the data and success predictions for a current ablation procedure utilizing the procedure expected outcomes. The optimization engine, also, outputs an ablation recommendation based on the success predictions.

Identification of ablation gaps

The present disclosure provides systems, apparatuses and methods that include a catheter configured to be inserted into an intra-body cavity of a patient. An ultrasonic transducer array including a plurality of multi-frequency ultrasonic transducers may be arranged on the catheter. Each of the plurality of multi-frequency ultrasonic transducers may be configured to transmit a wide beam ultrasonic signal and a narrow beam ultrasound signal, and may further be configured to receive a wide beam echo signal and narrow beam echo signal. A processor may be configured to detect free space of the intra-body cavity by processing the wide beam echo signals and the narrow beam echo signals.

Multi-frequency mapping catheter and method of mapping

A method includes, in a processor, receiving example representations of geometrical shapes of a given type of organ. In a training phase, a neural network model is trained using the example representations. In a modeling phase, the trained neural network model is applied to a set of location measurements acquired in an organ of the given type, to produce a three-dimensional model of the organ.

Left atrium shape reconstruction from sparse location measurements using neural networks

A medical system includes a shaft, multiple ultrasound transducers and a processor. The shaft is configured for insertion into an intra-body cavity of a patient. The multiple ultrasound transducers, which are distributed over splines that form a basket catheter at a distal end of the shaft, are configured to transmit ultrasonic signals in the intra-body cavity and to receive echo signals in response to the ultrasonic signals. The processor is configured to calculate a surface of the intra-body cavity by processing the echo signals using an ellipsoidal back-projection method, which reconstructs ultrasound-wave reflecting surfaces by performing at least one of applying back-projection summation over sub-sets of scattered echo signals distributed over respective sub-sets of constructed ellipsoids and applying a non-linear minimum operator over each of the sub-sets of distributed echo signals to generate a respective minimum value for each sub-set.

Mapping of intra-body cavity using a distributed ultrasound array on basket catheter

A method includes receiving an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LATs) measured at the locations. The input mesh is re-meshed into a regular mesh including regularized polygons. The set of measured locations and respective LATs is data fitted to the regularized polygons. Respective LAT values are iteratively calculated for the regularized polygons, so as to obtain a cyclic EP activation wave solution over the regular mesh that take account of reentry of an EP wave. An electroanatomical map including the cyclic EP activation wave overlaid on the regular mesh is presented.

Iterative coherent mapping of cardiac electrophysiological (EP) activation including reentry effects

A method includes receiving an input mesh representation of a cardiac chamber, a set of measured locations on a wall tissue of the cardiac chamber, and a respective set of local activation times (LATs) measured at the locations. The input mesh is re-meshed into a regular mesh including regularized polygons. The set of measured locations and respective LATs is data fitted to the regularized polygons. Respective LAT values, and respective probabilities that the wall tissue includes scar tissue, are iteratively calculated for the regularized polygons, so as to obtain an electrophysiological (EP) activation wave over the regular mesh that indicates scar tissue. An electroanatomical map overlaid on the regular mesh, the map including the EP activation wave and the scar tissue, is presented.

Growing community of inventors

Yokneam Ilit, Israel

Alon Baram