Ambu A/s

Finn Sonnenborg

Andreas Härstedt Jørgensen

Brian Spidsbjerg Nielsen

Thomas Bachgaard Jensen

Curt Allan Johansson

Sebastian Ortega Zafra

Qian Yang

Kai-Cheng Chan

Wang Chang-Yu

Kaspar Mat Matthison-Hansen

Morten Dahl Sørensen

Lasse Markworth Johnsen

Morten Sørensen

Jesper Grøndahl Lund

Morten Jacobsen

Andreas Härstedt JØRGENSEN

A method of enhancing the visibility of blood vessels in a colour image captured by an image capturing device of a medical device, the colour image having a plurality of colour channels and a plurality of pixels, the method including for at least some of said plurality of pixels the steps of: (a) processing data obtained from a first colour channel together with data obtained from a second colour channel to determine a value of a first parameter indicative of the intensity in the red spectrum relative to the total intensity of said pixel; and (b) using said value of said first parameter to alter said pixel, wherein said first parameter has at least three possible values, and wherein the strength of the alteration is dependent on the value of said first parameter.

Enhancing the visibility of blood vessels in colour images

A tip part for an endoscope has a vision receptor having a vision sensor for providing an image from received light, a first lens, and a casing, the casing supporting the first lens so that the casing substantially maintains a position of the first lens in relation to the vision sensor; a first light source; an exterior housing; and a light shield positioned between the vision receptor and the first light source so as to prevent ingress of stray light from the first light source into the vision receptor by optically shielding the vision receptor; wherein the casing is formed integrally with the exterior housing so that the casing also substantially maintains the first lens in a position in relation to the exterior housing.

Method of making a tip part for an endoscope

A visualization system including a video processing apparatus (VPA) including a processor; and memory having processing instructions stored therein and executable by the processor, the processing instructions operable to, when executed by the processor: determine an amplification gain level applied by the image sensor; determine, based on the amplification gain level, a denoising level and a corresponding sharpening level; and process image data to denoise and sharpen an image corresponding to the image signals using the denosing level and the sharpening level.

Method for adaptive denoising and sharpening and visualization systems implementing the method

A method of enhancing the visibility of blood vessels in a colour image captured by an image capturing device of a medical device, including, for at least some of the pixels of the image, the steps of: (a) processing data obtained from a first colour channel together with data obtained from a second colour channel to determine a value of a first parameter indicative of the intensity in the red spectrum relative to the total intensity of said pixel; (b) using said value of said first parameter and a first value of a user parameter to alter said pixel, the first value of the user parameter being based on user input, and wherein the strength of the alteration is dependent on both the value of said first parameter and the first value of said user parameter.

Method for enhancing the visibility of blood vessels in color images and visualization systems implementing the method

A method for obtaining and processing image data by using a medical visual aid system including a monitor and an endoscope configured to be inserted into a body cavity and including an image capturing device and a light emitting device, the method including illuminating a field of view of the image capturing device with the light emitting device, capturing the image data using the image capturing device, providing a non-linear scaling model adapted to the body cavity, adjusting the image data by applying the non-linear scaling model such that adjusted image data is formed, and presenting the adjusted image data on the monitor.

Method for processing image data using a non-linear scaling model and a medical visual aid system

Tip part for a vision device

An endoscope having a proximal end and a distal end, a handle at the proximal end and an insertion tube extending from the proximal end towards the distal end. The insertion tube includes an internal working channel extending from the handle to the distal end of the insertion tube. A connector at the handle is adapted for the attachment of a syringe. A recess is adapted to accommodate a cylindrical body of the syringe when said syringe is attached to the connector.

Endoscope adapted for facilitating BAL procedures

A method for obtaining and processing image data by using a medical visual aid system including a monitor and an endoscope configured to be inserted into a body cavity and having an image capturing device and a light emitting device, the method including illuminating a field of view of the image capturing device with the light emitting device, capturing the image data using the image capturing device, providing a non-linear scaling model adapted to the body cavity, adjusting the image data by applying the non-linear scaling model such that adjusted image data is formed, and presenting the adjusted image data on the monitor.

A set of electrodes suitable for being attached to the skin of an animal or human being at locations normally used for attaching single-lead electrodes with a single sensor point. The electrodes of the set of electrodes have at least three sensors arranged to define two linearly independent directions, which allows sensing corresponding electrical potential differences in the two directions. Signals representing sensed potential differences can be transmitted wirelessly or via conductors to a processing apparatus for being transformed into electrical potentials that approximate traditional potentials obtained with wired single-sensor electrodes. A method is also presented.

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Frederikssund, Denmark

Finn Sonnenborg