Given Imaging Ltd.

Igor Zingman

Ofra Zinaty

Eli Horn

A system and method for detecting an anomaly in a tissue captured or imaged by an imaging system are provided. A uniform region in an image representing a tissue may be defined by identifying a group of pixels associated with a predefined variance from an imaging parameter value. An adaptive size window may be used to define a sub-region in a uniform region. An anomaly may be detected by identifying, in the sub-region, a set of pixels associated with imaging parameter values indicative of an anomaly. Other embodiments are described and claimed.

System and method for detecting anomalies in a tissue imaged in-vivo

A method and system for automatically detecting villi texture in in-vivo images. In-vivo images may be received from an in vivo imaging capsule, and at least one image may be selected for analysis. Textural details may be extracted, for example using morphological top hat transforms. The image may be divided into segments or patches. The patches may be pruned using a set of threshold conditions, which are calculated based on grayscale or color statistics of the patches. The patches may be classified as containing villi texture or not based for example on rotation-invariant textural features computed in the Fourier domain. A sum, score or rating for the image may be calculated based on the classification of each patch. The final score of the image may be averaged over a number of, for example, consecutive images, and the score may be used for detecting entry into the small bowel and segmenting the image stream to anatomical regions.

System and method for real time detection of villi texture in an image stream of the gastrointestinal tract

This invention relates to methods for enhancing an image by expanding the color contrast of the image presented to a wider range of colors that is optimized for the item sought to be viewed. The method also increases contrast of an image or a portion of an image for example an in vivo image captured by an autonomous in vivo device. A user interface with a display provides the user with the option of viewing selected images captured by the in-vivo imaging device in either regular view or in a color enhanced view to enable more distinct viewing of the selected images.

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Constance, Germany

Igor Zingman