Given Imaging Ltd.

Sightful Computers Ltd

Multinarity Ltd

Dori Peleg

Tomer Kahan

Tamir Berliner

Orit Dolev

Doron Assayas Terre

Oded Noam

Moran Horesh

Iddo Ambor

Avishag Spillinger

Eli Horn

Hagai Krupnik

Tal Davidson

Avishai Adler

Ori Hay

Stas Rozenfeld

Ryan Sohlden

Eshel Hason

Yossi Tsadok

Eva Niv

Orit Elkayam

Roni Keynan

Ron Nadiv

Yaron Hakuk

Giovanni Di Napoli

Boris Cherevatsky

Sherry L Fox

Golan Inbar

Elad Levi

Amir Eshel

Laurence Keselbrener

Dov Eilot

The present disclosure relates to classifying and/or selecting images based on image segmentation. A classification system for classifying images includes one or more processors and at least one memory storing machine executable instructions. When the instructions are executed by the one or more processors, they cause the classification system to: access image segmentation scores for pixels of an image, and classify the entire image based on the image segmentation scores for the pixels of the image. The image segmentation scores for the pixels of the image are provided by an image segmentation system based on the image, and each of the image segmentation scores correspond to at least one pixel of the pixels of the image.

Systems and methods for classifying or selecting images based on image segmentation

Systems, devices, methods for capsule endoscopy procedures are disclosed. A system for a capsule endoscopy procedure includes a capsule device configured to capture in-vivo images over time of at least a portion of a gastrointestinal tract (GIT) of a person, a wearable device configured to be secured to the person where the wearable device is configured to receive at least some of the in-vivo images from the capsule device and to communicate at least some of the received images to a communication device at a same location as the wearable device, and a storage medium storing machine-executable instructions configured to execute on a computing system remote from the location of the wearable device. The instructions, when executed, cause the computing system to receive communicated images from the communication device, perform processing of the communicated images received from the communication device, and communicate with at least one healthcare provider device.

Systems, devices, apps, and methods for capsule endoscopy procedures

Systems, methods, and non-transitory computer readable media including instructions for presenting location-based content are described. Presenting location-based content includes obtaining an indication of a current physical location of an extended reality appliance; providing the indication to a first server that maps physical locations to a plurality of content addresses; receiving from the first server, at least one specific content address associated with the current physical location; using the at least one specific content address to access a second server; receiving content, associated with the current physical location, from the second server; and presenting the content via the extended reality appliance, while the extended reality appliance is in the current physical location.

Location-based virtual resource locator

A system and a method for content localization in moving vehicles may include receiving from within a moving vehicle first acceleration data captured using a first sensor included in an extended reality appliance mountable on a head of a wearer. The first acceleration data includes a first component associated with movement of the head of the wearer with respect to the vehicle and a second component associated with movement of the vehicle. The system also includes receiving from within the moving vehicle second acceleration data captured using a second sensor included in a personal input device. The personal input device may be a non-vehicle component configured to be paired with the extended reality appliance. The system may segregate the second component from the first component using the first acceleration data and the second acceleration data to thereby isolate the head acceleration with respect to the vehicle from the vehicle acceleration.

Displaying virtual content on moving vehicles

Systems and methods may display and/or provide analysis of a number of selected images of a patients gastrointestinal tract collected in-vivo by a swallowable capsule. Images may be displayed for review (e.g., as a study) and/or for further analysis by a user. A subset of images representing the stream of images and automatically selected according to a first selection method may be displayed. On user input, additional images corresponding to a currently displayed image may be displayed, where the additional images are automatically selected according to a second selection method. The second selection method may be based on a relation between images of the stream of in-vivo images and the currently displayed image.

Systems and methods for generating and displaying a study of a stream of in-vivo images

Systems, methods, and non-transitory computer readable media including instructions for selectively operating a wearable extended reality appliance are disclosed. Selectively operating the wearable extended reality appliance includes establishing a link between a wearable extended reality appliance and a keyboard device; receiving sensor data from at least one sensor associated with the wearable extended reality appliance, the sensor data being reflective of a relative orientation of the wearable extended reality appliance with respect to the keyboard device; based on the relative orientation, selecting from a plurality of operation modes a specific operation mode for the wearable extended reality appliance; identifying a user command based on at least one signal detected by the wearable extended reality appliance; and executing an action responding to the identified user command in a manner consistent with the selected operation mode.

Interpreting commands in extended reality environments based on distances from physical input devices

A method executed by a system for selecting images from a plurality of image groups originating from a plurality of imagers of an in-vivo device includes calculating, or otherwise associating, a general score (GS) for images of each image group, to indicate the probability that each image includes at least one pathology, dividing each image group into image subgroups, identifying a set Set(i) of maximum general scores (MGSs), a MGS for each image subgroup of each image group; and selecting images for processing by identifying a MGS|max in each set S(i) of MGSs; identifying the greatest MGS|max and selecting the image related to the greatest MGS|max. The method further includes modifying the set Set(i) of MGSs related to the selected image, and repeating the steps described above until a predetermined criterion selected from a group consisting of a number N of images and a score threshold is met.

Systems and method for selecting for display images captured in vivo

Methods for capturing and transmitting images by an in-vivo device comprise operating a pixel array in a superpixel readout mode to capture probe image, for example, according to a time interval. Concurrently to capturing of each probe image, the probe image is evaluated alone or in conjunction with other probe image(s), and if it is determined that no event of interest is detected by the last probe image, or by the last few probe images, the pixel array is operated in the superpixel readout mode and a subsequent probe image is captured. However, if it is determined that the last probe image, or the last few probe images, detected an event of interest, the pixel array is operated in a single pixel readout mode and a single normal image, or a series of normal image, is captured and transmitted, for example, to an external receiver.

Methods and systems for controlling images capturing and transmission rate in an in-vivo device

System and method for selecting for display images captured in vivo

Systems and methods for detecting an anomaly in an image from a set of images captured in vivo by an in-vivo imaging system may include, for each pixel of the image, associating the pixel with a color histogram value from a color histogram database; determining, for each pixel, whether the color histogram value associated with the pixel exceeds a histogram value threshold; assigning a pixel status to each pixel indicating whether the pixel is anomalous or normal; identifying one or more groups of adjacent anomalous pixels, the one or more groups of adjacent anomalous pixels each having a pixel size that exceeds a pixel size threshold; generating, using at least the one or more groups of adjacent anomalous pixels, a binary mask for the image; and determining an image anomaly score for the image based at least in part on the binary mask.

System and method for detecting anomalies in an image captured in-vivo using color histogram association

An optimization unit controls electrical currents of a set of electromagnets to generate a wanted maneuvering magnetic field pattern (MMP) for moving an in-vivo device in the GI system. The optimization unit may calculate a magnetic force and a magnetic field to maneuver the in-vivo device from a current location and/or orientation to a new location and/or orientation. The optimization unit may solve a magnetic force optimization problem with respect to the magnetic force in order to determine electrical currents suitable for generating the wanted MMP. The optimization unit may additionally or alternatively solve a minimum electrical power optimization problem with respect to the electrical power to be consumed by the electromagnets in order to recalculate or adjust the electrical currents. The optimization unit may solve one or more of the optimization problems while complying with a set of constraints associated with or derived from each type of optimization objective.

System and method for maneuvering coils power optimization

An in-vivo imaging system and method to automatically detect a pathology frame sequence in an image stream captured in vivo. An image stream comprising a plurality of image frames captured in vivo may be received, and a pathology score for at least a portion of the image frames is received. A seed frame which includes at least one pathology candidate may be selected, and the position of the pathology candidate in the seed frame may be determined. A sequence of frames adjacent to the seed frame is defined comprising frames that depict the pathology candidate, and a pathology sequence score is calculated based on the sequence, the pathology sequence score correlating to the probability that the sequence of frames adjacent to the seed frame includes a pathology. If the pathology sequence score is within a range, a display method may be adapted, or the pathology score may be changed based.

System and method for detection of in-vivo pathology sequences

A system and method for identifying an in-vivo image frame with one or more polyps. Center points of candidate imaged structures may be determined, each center point defining a respective circle. Polyp edge scores may be computed for a plurality of points around each center point, each polyp edge score measuring the coincidence of a respective candidate imaged structure and its respective circle. For each center point, a plurality of edge points of the respective candidate imaged structure may be detected based on the polyp edge score and a candidate imaged structure may be identified based on the detected edge points. For each candidate imaged structure, a candidate polyp may be identified for which extrapolating the detected edge points forms an edge in a shape approximating an ellipse. Image frames with candidate polyps contributing to an above threshold overall image score are determined and marked to include a polyp.

System and method for automatic detection of in vivo polyps in video sequences

A system and method for detecting a transition in a stream of images of a gastrointestinal (GI) tract may include selecting images from an in-vivo image stream; calculating a segment score for each selected image indicating in which segment of the GI tract the image was captured; applying a smoothing function on the scores; detecting a global step in the smoothed segment score signal indicating a substantial change in a parameter calculated based on segment score signal values of the segment score signal values; detecting a local step indicating a substantial change in a parameter calculated based on segment score signal values of a predetermined interval of the of the segment score signal values; combining the local step and the global step; and determining a point of transition in the stream from one anatomical segment to another, the point of transition correlating to the combined step.

System and method for detection of transitions in an image stream of the gastrointestinal tract

A system and method for classification of images of an image stream may include receiving an image stream of unclassified images, for example produced by an in-vivo imaging device, and based on indirect user input, adapting an initial classification algorithm to classify images to groups based on at least a subset of the received image stream of unclassified images. The indirect user input may be used to generate user-based indications for the classification.

Growing community of inventors

Haifa, Israel

Dori Peleg