New York University

Yeda Research and Development Co. Ltd.

Ultrasight Ltd

Itay Kezurer

Yaron Lipman

Achiau Ludomirsky

Raanan Gonen

Issahar Weiss

Danny Spiegelstein

Yoram Eshel

Adam Itzhak Doron

Ganit Porat Stoler

A device for a mobile ultrasound unit having an ultrasound probe includes a trained orientation neural network and a result converter. The trained orientation neural network receives a non-canonical image of a body part from the mobile ultrasound unit and generates a transformation transforming between a position and rotation associated with a canonical image and a position and rotation associated with the non-canonical image. The result converter converts the transformation into position and/or rotation instructions of the probe and displays the position and/or rotation instructions to a user to change the position and/or rotation of the probe.

System and method for orientating capture of ultrasound images

Display screen or portion thereof with graphical user interface

A downloadable navigator for a mobile ultrasound unit having an ultrasound probe, implemented on a portable computing device. The navigator includes a trained orientation neural network to receive a non-canonical image of a body part from the mobile ultrasound unit and to generate a transformation associated with the non-canonical image, the transformation transforming from a position and rotation associated with a canonical image to a position and rotation associated with the non-canonical image; and a result converter to convert the transformation into orientation instructions for a user of the probe and to provide and display the orientation instructions to the user to change the position and rotation of the probe.

An exemplary system, method and computer-accessible medium for detecting an anomaly(ies) in an anatomical structure(s) of a patient(s) can be provided, which can include, for example, receiving imaging information related to the anatomical structure(s) of the patient(s), classifying a feature(s) of the anatomical structure(s) based on the imaging information using a neural network (s), and detecting the anomaly(ies) based on data generated using the classification procedure. The imaging information can include at least three images of the anatomical structure(s).

System and method for ultrasound analysis

Growing community of inventors

Rehovot, Israel

Itay Kezurer