Abstract: An in-vivo imaging device including a camera may include a frame storage device. Systems and methods which vary the frame capture rate of the camera and/or frame display rate of the display unit of in-vivo camera systems are discussed. The capture rate is varied based on for example, a physical quantity experienced by the camera system, or physical measurements related to the motion of the camera. Alternatively, the frame capture rate is varied based on comparative image processing of a plurality of frames. The frame display rate of the system may be varied based on comparative image processing of a multiplicity of frames. Both the frame capture and the frame display rates of such systems can be varied concurrently.

Abstract: An in vivo sensing device and system may contain or be used in conjunction with an image sensor and a body lumen clearing element or agent. A method may enable clearing a body lumen for in vivo sensing while using the device of the invention.

Abstract: A system and method for acquiring images containing spatial and spectral information of an object include acquiring defocused images using an optical system based on extended depth of field. The optical system further includes a filter array comprising an array of at least six different sub-filters that are arranged such that any group of four immediately adjacent sub-filters includes at least one red sub-filter, at least one green sub-filter and at least one blue sub-filter. The filter array is located at the aperture stop of the optical system. A coded mask is located at the focal plane of the optical system, and an imager is located beyond the focal plane such that images acquired by the imager are defocused. The images are refocused, and spectral and spatial information is restored by designated software.

Abstract: A device, system and method for automatic detection of contractile activity of a body lumen in an image frame is provided, wherein image frames during contractile activity are captured and/or image frames including contractile activity are automatically detected, such as through pattern recognition and/or feature extraction to trace image frames including contractions, e.g., with wrinkle patterns. A manual procedure of annotation of contractions, e.g. tonic contractions in capsule endoscopy, may consist of the visualization of the whole video by a specialist, and the labeling of the contraction frames. Embodiments of the present invention may be suitable for implementation in an in vivo imaging system.

Abstract: Systems and methods for imaging within depth layers of a tissue include illuminating light rays at different changing wavelengths (frequencies), collimating illuminated light rays using a collimator, and splitting light rays using a beam splitter, such that some of the light rays are directed towards a reference mirror and some of the rays are directed towards the tissue. The systems and methods further include reflecting light rays from the reference mirror towards the imager, filtering out non-collimated light rays reflected off the tissue by using a telecentric optical system, and reflecting collimated light rays reflected off the tissue towards the imager, thus creating an image of an interference pattern based on collimated light rays reflected off the tissue and off the reference mirror. The method may further include creating full 2D images from the interference pattern for each depth layer of the tissue using Fast Fourier transform.

Abstract: In-vivo medical devices, systems and methods of operating such devices include a permanent magnetic assembly interacting with external magnetic fields for magnetically maneuvering said device to a desired location along a patient's GI tract, and anchoring said devices to the desired location for a period of time. The in-vivo medical device includes illumination sources, an optical system, and an image sensor for imaging the GI tract and thus assisting in locating the desired location. Some in-vivo medical devices include a concave window, which enables better imaging of small areas along the tissue. Furthermore, in-vivo devices with a concave window enable carrying operating tools without damaging the tissue of the GI tract, since prior to operation, the tools protrude from the concave window but remain behind the ends of the edges of the concave window.

Abstract: A method and system for determining intestinal dysfunction condition are provided by classifying and analyzing image frames captured in-vivo. The method and system also relate to the detection of contractile activity in intestinal tracts, to automatic detection of video image frames taken in the gastrointestinal tract including contractile activity, and more particularly to measurement and analysis of contractile activity of the GI tract based on image intensity of in vivo image data.

Abstract: An electromagnetic localization signal may be sensed by an electromagnetic field sensor in an in-vivo device with an electromagnetic field interference that is superimposed on the electromagnetic localization signal. The electromagnetic field interference may be filtered by outputting, by the electromagnetic field sensor, an alternating signal that represents, or in response to, the electromagnetic localization signal; sampling a first (e.g., positive) portion of the alternating signal during a first sampling window or period to obtain a first set of samples, sampling a second (e.g., negative) portion of the alternating signal during a second sampling window or period to obtain a second set of samples; and calculating a number, NR, from the first and second sets of samples, that approximately represents a substantially interference free electromagnetic localization signal.

Abstract: A system and method for classification of images of an image stream includes receiving an image stream of unclassified images, for example produced by an in-vivo imaging device, and adapting an initial classification algorithm to classify images to groups based on at least a subset of the received image stream of unclassified images.