Biosense Webster (israel) Ltd.

Biosense Webster, Inc.

Roy Urman

Liron Shmuel Mizrahi

Assaf Govari

Andres Claudio Altmann

Meir Bar-Tal

Lior Zar

Shmuel Auerbach

Ronen Krupnik

Fady Massarwa

Eid Adawi

Morris Ziv-Ari

Assaf Pressman

Yariv Avraham Amos

Amit Agarwal

Hanna Cohen-Sacomsky

Brandon Andrew Tran

Shaked Meitav

Richard PM Houben

Medical systems and methods are provided in which a processor receives the 3D ultrasound images and receives position signals from a position tracking device, indicating the position of a corresponding probe relative to the 3D ultrasound images. Based on the probe position, a region of interest is selected that contains the position the medical probe within the 3D ultrasound images, and the selected region of interest is rendered to a display together with a representation of the medical probe superimposed on the region of interest.

Visualizing a medical probe in a four-dimensional ultrasound image

A method includes, using a processor, identifying a septum and a Left Atrium Appendage (LAA) of a heart of a patient in an anatomical map of at least part of the heart. An entry surface over which a medical device is defined on the anatomical map, which is to be delivered via a sheath that penetrates the septum, is to engage with the LAA. A normal to the entry surface is calculated. A plurality of curves is calculated that each (i) have one end that is tangent to the normal, (ii) have a second end touching the septum, and (iii) comply with specified mechanical properties of the sheath. Multiple candidate locations on the septum are derived from the curves, for transseptal puncture with the sheath. The multiple candidate locations are presented to a user.

Left atrial appendage (LAA) transseptal access point optimization

A system includes a display and a processor. The processor is configured to obtain a point cloud including multiple points representing different respective locations in a body of a subject, the points being labeled as corresponding to respective anatomical structures to which the locations, respectively, belong. The anatomical structures including a first structure and multiple second structures. The processor is further configured to compute a mesh including multiple triangles representing the anatomical structures, by applying a ball-pivoting algorithm to the point cloud with a constraint that none of the triangles include two of the points labeled as corresponding to different respective ones of the second structures. Other examples are also described.

Anatomical modeling with the ball-pivoting algorithm

A method includes obtaining, by a processor, a set of ultrasound frames showing a portion of a heart of a subject, identifying a subset of the frames, responsively to the subset having been acquired at one or more predefined phases of at least one physiological cycle of the subject, computing respective image-quality scores for at least the subset of the frames, each of the scores quantifying an image quality with which one or more anatomical portions of interest are shown in a respective one of the frames, and, based on the image-quality scores, selecting, for subsequent use, at least one frame from the subset of the frames. Other embodiments are also described.

Automatic frame selection for 3D model construction

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Irvine, CA, United States of America

Roy Urman