Given Imaging Ltd.

Stas Rozenfeld

Hagai Krupnik

Dori Peleg

Ori Hay

Moran Horesh

Ron Nadiv

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

A system and method for reconstructing locations of sensors in radiopaque images may estimate sensor locations in two groups of good radiographic images and use them to estimate candidate sensor locations in a group of bad radiographic images B, . . . , Bn in which many sensors are indiscernible. A first iterative process pervading from the first image Bto the last image Bn may determine a first set of candidate sensor locations, and a second iterative process pervading from the last image Bn to the first image Bmay determine a second set of candidate sensor location for each image. Location of a sensor in each image Bi may be estimated based on the pertinent first and second candidate sensor locations related, or determined for, the particular sensor in the particular image. Sensor locations still missing in the series of images are, then, estimated using the already estimated sensor locations.

System and method for reconstructing sensor locations in radiographic images

A system and method for ulcer detection which may generate a vector of grades including grades indicative of a probability that the image includes an ulcer, for example an ulcer of specific type. For each grade, generating may include finding ulcer candidates within the image, and for each ulcer candidate, building a property vector describing properties of the ulcer candidate and employing a trained classifier to generate the grade from the property vector. The grades may be combined to obtain an indication or score of the probability that the image includes an ulcer.

Method and system for image-based ulcer detection

A system and method for editing an image stream captured by an in-vivo imaging device that passes through the GI tract. The image stream including a plurality of image frames. A plurality of image sequences in the image stream may be detected. The plurality of image sequences may capture the same GI tract region. Some of the plurality of image sequences may be excluded from an edited image stream. The edited image stream may be displayed on a monitor.

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Haifa, Israel

Stas Rozenfeld