Samsung Electronics Co., Ltd.

Zebra Medical Vision Ltd.

Bsp Biological Signal Processing Ltd.

Orna Bregman-Amitai

Eldad Elnekave

Eyal Toledano

Eduard Oks

Amir Shaham

Noam Sorek

Amir Beker

Eran Toledo

Natan Linder

Ido Yerushalmy

Yuri Arshavski

Eli Ben-Ami

Tom Shenhav

Lilach Armony-Shimoni

Israel Distanik

Eran Itan

Alexander Zeltser

Rami Gil

Adar Shtainhart

Ehud Lavsky

There is provided a method for predicting risk of osteoporotic fracture, comprising: receiving imaging data of a computed tomography (CT) scan of a body of a patient containing at least a bone portion, the CT scan being performed with settings selected for imaging of non-osteoporosis related pathology; processing the imaging data to identify the bone portion; automatically extracting features based on the imaging data denoting the identified bone portion; computing an osteoporotic fracture predictive factor indicative of the risk of developing at least one osteoporotic fracture in the patient, or the risk of the patient having at least one severe osteoporotic fracture, based on the extracted features, the predictive factor calculated by applying a trained osteoporotic fracture classifier to the extracted features, the osteoporotic fracture classifier trained from data from a plurality of CT scans performed with settings selected for imaging non-osteoporosis related pathology; and providing the predictive factor.

Systems and methods for prediction of osteoporotic fracture risk

Computerized methods and systems for estimating a dual-energy X-ray absorptiometry (DEXA) score from CT imaging data by receiving imaging data of a computed tomography (CT) scan of a body of a patient containing at least a bone portion, segmenting the bone portion from the imaging data , computing at least one grade based on pixel associated values from the bone portion, and correlating the at least one grade with at least one score representing a relation to bone density values in a population obtained based on a DEXA scan. The grade is computed from a calculation of sub-grades performed for each one or a set of pixels having at least one of a common medial-lateral axial coordinate and a common cranial-caudal axial coordinate along a dorsal-ventral axis of a volume representation of the imaging data.

Systems and methods for emulating DEXA scores based on CT images

Computerized methods and systems for estimating a dual-energy X-ray absorptiometry (DEXA) score from CT imaging data by receiving imaging data of a computed tomography (CT) scan of a body of a patient containing at least a bone portion, segmenting the bone portion from the imaging data, computing at least one grade based on pixel associated values from the bone portion, and correlating the at least one grade with at least one score representing a relation to bone density values in a population obtained based on a DEXA scan. The grade is computed from a calculation of sub-grades performed for each one or a set of pixels having at least one of a common medial-lateral axial coordinate and a common cranial-caudal axial coordinate along a dorsal-ventral axis of a volume representation of the imaging data.

There is provided a computer-implemented method for detecting a fatty liver, comprising: receiving imaging data of a computed tomography (CT) scan performed using a single source CT Scanner with settings selected for imaging of non-fatty-liver pathology, segmenting a region of the liver by creating a binary image by applying binary segmentation to a sub-set of pixels of the imaging data according to a first set-of-rules, and mapping the region of liver of the binary image to the segmented region of the portion of the liver of the imaging data, calculating liver parameter(s) for the segmented region of the liver from Hounsfield unit (HU) value(s), and detecting the presence of a fatty liver by analyzing the calculated liver parameter(s) according to a second set-of-rules.

Systems and methods for detecting a fatty liver from a computed tomography (CT) scan

A computerized method for model-less segmentation and registration of ultrasound (US) with computed tomography (CT) images of an organ with a fluid filled chamber. The method is based on correlating between the US image(s) and the CT image(s) by processing the US image(s) by iteratively expanding the CT image segment so that the expanded CT image segment is correlated with the visual boundaries of the US image segment; transforming the CT image(s) according to an estimated US transducer position and estimated US beam direction related to the US image(s) so that at least one of shape and volume of the organ in the CT image is adapted with at least one of shape and volume of the organ of the US image, to form a CT image representation which is correlated with US image(s).

Systems and methods for registration of ultrasound and CT images

Detecting cardiac ischemia by detecting local changes in high frequency ECG parameters. Local changes may be, for example, local reduction in RMS of high frequency components, for example, during a stress test.

Apparatus and method for identifying myocardial ischemia using analysis of high frequency QRS potentials

A method for generating and viewing on a handheld device a 3-D augmented reality feature containing a rich media message that is linked to a physical object comprises the steps of: a) by a first user: i. Taking a picture of a physical object; ii. selecting an augmented reality theme; iii. attaching the rich media animated object to the image taken, in the desired position and location on the physical object; iv. generating a reach media message from the augmented reality image obtained in step (iii); iv. optionally attaching an additional file to the rich media message; v. Transferring the physical object to a second user; and vi. sending to said second user a message via a communication channel, which contains the augmented reality rich media; b) by the second user (the recipient): vii. viewing the physical object received from the first user, using an AR viewer in the mobile phone camera, thereby to see the augmented reality rich media appearing on said physical object.

Augmented media message

A method of assembling a panoramic image from a plurality of frames in a camera, the method comprising: (a) acquiring a video stream using a camera; (b) selecting an initial frame from the video stream for capture as a still image; (c) further selecting additional frames; and (d) stitching the additional frames to the initial frame in the camera to create a panoramic image.

Panoramic image production

An apparatus for QRS waveform quantifying, comprising: an input unit, for receiving one or more high frequency (HF) range QRS complexes from one or more ECG leads, a primary analyzer, for calculating a primary index from the high frequency (HF) range QRS complex, and a secondary analyzer, connected after the primary analyzer, for deriving a secondary index from the primary index, thereby to provide a quantification of QRS complexes.

Apparatus and method for analysis of high frequency QRS complexes

A method for providing location-based messages comprises locating a suitable placeholder for a message within a physical surrounding using a handheld device provided with image acquisition apparatus, and associating a written or visual or audio message, or a combination of two or more of them, with an image that identifies said placeholder, said association being carried out in a server adapted to communicate with said handheld device.

Location-based communication method and system

System and method for visual pairing between wireless devices, according to which a first software component is installed on a first WCD with a display screen and a second software component is installed on a second WCD having a camera and then a request to establish an open WCC is sent from the second WCD to the first WCD. If the request is approved by the first WCD, an image with graphically encoded unique one-time information is generated on the display screen using the first software. The image is captured by the camera and the information is decoded in the captured image by using the second software component. This information is used to establish an open WCC between the second WCD and the first WCD.

System and method for visual pairing of mobile devices

A method for constructing a composite image comprises determining in an alignment between at least a first and a second image based on the content of the first and second image frames, and combining in a transform domain at least the first and second images with the determined alignment to form a composite image.

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Tel Aviv, Israel

Orna Bregman-Amitai