Mimo Ag

Other

Visionai Gmbh

Gyger, Cyrill

Maloca, Peter

Peter Maloca

Jens Horst Kowal

Gwenolé Quellec

Urban Schnell

Karim Haroud

Cyrill Gyger

Yuntai Aaron Lee

Bruno Rieder

Adnan Tufail

A method for generating treatment recommendations based on images of a facial region of a human subject comprises the steps of acquiring at least one image of the facial region and generating image data representing the at least one image; processing the image data and additional information, including at least an indication of a condition affecting an appearance of the facial region and a treatment type to treat the condition, to obtain a treatment recommendation and outputting the obtained treatment recommendation. The processing step includes a comparison substep to compare information derived from the image data with reference information to obtain a reference measure. The processing step further includes a classifying substep to obtain the treatment recommendation () based on the reference measure.

Method, system and for generating treatment recommendations based on images of a facial region of a human subject

In a method for the acquisition of optical coherence tomography image data of retina tissue of an eye () of a human subject using an acquisition device comprising an imaging optics (), a first image associated with a baseline relative positioning of the eye () of the human subject with respect to the imaging optics () is acquired at a first point in time. The baseline relative positioning is stored. At a second point in time being different from the first point in time, the baseline relative positioning of the same eye () of the same human subject with respect to the imaging optics () is re-established and a second image is acquired. For re-establishing the positioning, a present relative positioning of the eye () of the human subject with respect to the imaging optics is determined based on a video image of an iris region of the eye. A corresponding device comprises an imaging optics (), a head support to be contacted by a head portion of the human subject, the head support defining an entrance position of the sample beam entering an eye of the human subject, a camera () for acquiring a video image of an iris region of the eye, a display () for displaying a target image to the human subject, the target image indicating a direction of a line of vision to be assumed by the human subject, and a processor for determining a present relative positioning of the eye of the human subject with respect to the imaging optics, based on the video image, for comparing a present relative positioning of the eye () of the human subject with respect to the imaging optics () to a stored baseline relative positioning, for affecting the target image as long as the present relative positioning does not correspond to the stored baseline relative positioning, and for triggering the acquisition of image data when the present relative positioning corresponds to the baseline relative positioning.

Method for the acquisition of optical coherence tomography image data of retina tissue of an eye of a human subject

In the context of a method for the analysis of image data representing a three-dimensional volume of biological tissue, the image data comprises a first image representing the volume at a first point in time and a second image representing the volume at a second point in time being different from the first point in time. The method comprises the steps of: a) identifying a first subvolume of the volume represented by the first image having a major extension in a predefined direction and a second subvolume of the volume represented by the second image having a major extension in the predefined direction, whereas the first subvolume and the second subvolume represent a same region of the three-dimensional volume; b) creating a distance matrix from image data of a succession of voxels of the first subvolume in the predefined direction and image data of a succession of voxels of the second subvolume in the predefined direction; and c) analyzing the distance matrix to obtain at least one local measure for a probability of growth of a layer of the biological tissue represented by the first and the second subvolume, along the predefined direction.

Method for the analysis of image data representing a three-dimensional volume of biological tissue

In the context of a method for the analysis of image data representing a three-dimensional volume () of biological tissue, for each of a number of subvolumes at least two error probability values () are generated, each of the values () indicating a probability of a type of imaging error, the totality of subvolumes constituting the three-dimensional volume (). A single consolidated error probability value () is determined for each of the number of subvolumes, based on the at least two error probability values (). Subsequently, the image data is analyzed to obtain a physiologically relevant conclusion applying to a plurality of subvolumes, weighting in the analysis the image data of a given subvolume of the plurality of subvolumes according to the consolidated error probability () of the subvolume.

An optical coherence tomography imaging device () for imaging a retina of a human subject comprises a base () having a planar contact surface (), an optical unit () providing a sample beam to scan the retina of the human subject and a head support () to be contacted by a head portion of the human subject, the head support () defining an entrance position of the sample beam entering an eye of the human subject. An angle between the sample beam at the entrance position and the planar contact surface () of the base () is 50 to 90&#xb0;. This arrangement ensures that the head rests in a stable and well defined position with respect to the OCT optics. The risk of negative effects on the imaging process due to head movements, in particular due to movements during the scan time of the OCT device is considerably reduced. Furthermore, the device may assume a compact form factor.

Optical coherence tomography imaging device for imaging a retina of a human subject

A method for processing image data representing a three-dimensional volume, the data comprising image values for a three-dimensional grid of voxels, comprising: starting from a given voxel building up a vector path along a first dimension of the three dimensional volume, connecting a number of voxels of two-dimensional slices of the grid adjacent in the first dimension, the connected voxels representing a spatial neighborhood of the given voxel, including structurally related voxels of the three-dimensional grid; averaging the image values of the voxels of the vector path to obtain a first averaged value, assigned to the given voxel position; repeating the aforementioned steps for a number of voxels; repeating the aforementioned steps on the first averaged values, employing vector paths along a second dimension being different from the first dimension, obtaining second averaged values; and on the second averaged values repeating the aforementioned steps, employing vector paths along a third dimension being different from the first and the second dimension. Thus, filtered values are obtained that constitute processed image data representing the three dimensional volume.

Method for processing image data representing a three-dimensional volume

An OCT appliance (optical coherence tomography appliance) comprises an OCT module and a camera for observing the fundus of an eye. By recognizing characteristic features (biometric features), the means defining the region observed by the OCT module, in particular the scanner of the OCT module, is adjusted so that a predefined region of interest is imaged by the OCT module. In preferred embodiments, the apparatus is apt to be operated by a patient himself, and the data are transferred to a clinical server so that a more frequent, hence closer observation of the eyes of the patient is possible.

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Lucerne, Switzerland

Peter Maloca