Abstract: Computer-implemented methods and facilities for providing a set of control commands for remote control of a medical imaging system arranged in a medical facility are based on providing a database with at least one set of control commands stored in the database for controlling medical imaging systems when performing medical imaging procedures. Furthermore, a request is acquired by a remote access facility from the medical facility for the performance of a medical imaging procedure with the medical imaging system, wherein said request includes target procedure information describing the imaging procedure to be performed. A set of control commands is provided to the medical facility based on a querying of the database using the target procedure information by the remote access facility.

Abstract: In order to provide a workpiece treatment plant that has a simple design and can be used flexibly, the treatment plant comprises multiple treatment zones, each of which includes one or more treatment stations for carrying out one or more treatment steps each, and one or more temporary storage units for temporarily storing the workpieces between two treatment steps.

Abstract: A computer-implemented method and a corresponding system for context-sensitive white balancing for a stereomicroscope are presented. The method comprises recording a first digital image by way of a first camera in a first optical path of the stereomicroscope, and recording a second digital image by way of a second camera in a second optical path of the stereomicroscope. Furthermore, the method comprises determining, by means of a trained machine learning system, the context identified in the images, and determining, by means of the trained machine learning system, camera parameters suitable for controlling color channels of the first and second cameras for white balancing.

Abstract: A computer-implemented method and a corresponding system for context-sensitive white balancing for a stereomicroscope are presented. The method comprises recording a first digital image by way of a first camera in a first optical path of the stereomicroscope, and recording a second digital image by way of a second camera in a second optical path of the stereomicroscope. Furthermore, the method comprises determining, by means of a trained machine learning system, the context identified in the images, and determining, by means of the trained machine learning system, camera parameters suitable for controlling color channels of the first and second cameras for white balancing.

Abstract: A method for visualizing a membrane on a retina of an eye includes recording a first image of the retina of the eye, wherein the membrane on the retina of the eye is not stained, recording a second image of the retina of the eye after the membrane on the retina of the eye has been stained, determining a first transformation such that mutually corresponding structures of the retina of the eye are located at mutually corresponding places in the second image and in the first image which was transformed with the first transformation, identifying image regions in the second image, which contain the membrane on the retina, based on the transformed first image and the recorded second image, and displaying the second image such that the identified image regions in the second image are highlighted relative to the surroundings of the identified image regions.

Abstract: A method for improving an OCT image of an object such as the retina of an eye, using optical coherence tomography by an imaging beam path. In order to suppress shadowing effects due to a surgical instrument moved in the imaging beam path, a time series of OCT images is produced. For an OCT image to be corrected, an area of the object lying in the image and shadowed by the instrument is determined. Another earlier OCT image in which the area of the object is not shadowed is searched in the time series. Image information for the area of the object is read from the earlier OCT image. A corrected OCT image is produced by inserting the read-image information into the OCT image to be corrected, wherein in the OCT image to be corrected, the image information replaces the area of the object which is shadowed by the instrument.

Abstract: A surgery system comprises a camera obtaining camera images, an OCT system, a data memory storing geometry data of a surgical tool 133 and a controller configured to identify a first portion of the tool in the camera images by object recognition using the geometry data; to determine, in the field of view, first locations where the tool is located and second locations aside of the tool; to trigger the OCT system to perform depth scans at the first and second locations; to identify a second portion 153 of the tool in the depth scans by object recognition using the geometry data; and to generate a first image 154 representing a third portion 157 of the tool based on the geometry data and the depth scans.

Abstract: A method for visualizing a membrane on a retina of an eye includes recording a first image of the retina of the eye, wherein the membrane on the retina of the eye is not stained, recording a second image of the retina of the eye after the membrane on the retina of the eye has been stained, determining a first transformation such that mutually corresponding structures of the retina of the eye are located at mutually corresponding places in the second image and in the first image which was transformed with the first transformation, identifying image regions in the second image, which contain the membrane on the retina, based on the transformed first image and the recorded second image, and displaying the second image such that the identified image regions in the second image are highlighted relative to the surroundings of the identified image regions.

Abstract: A system and method for optical coherence elastography of tissue of an eye. The method includes introducing a probe into the eye, the probe including a vibration element, generating time resolved images of the tissue of the eye located posterior the vibration element of the probe by optical coherence tomography, exciting the vibration element to ultrasonic vibrations making the tissue vibrate or oscillate, measuring a displacement of the tissue in the time resolved images, and calculating elasticity values of the tissue from the displacement.

Abstract: A system and method for optical coherence elastography of tissue of an eye. The method includes introducing a probe into the eye, the probe including a vibration element, generating time resolved images of the tissue of the eye located posterior the vibration element of the probe by optical coherence tomography, exciting the vibration element to ultrasonic vibrations making the tissue vibrate or oscillate, measuring a displacement of the tissue in the time resolved images, and calculating elasticity values of the tissue from the displacement.

Abstract: A method for improving an OCT image of an object such as the retina of an eye, using optical coherence tomography by an imaging beam path. In order to suppress shadowing effects due to a surgical instrument moved in the imaging beam path, a time series of OCT images is produced. For an OCT image to be corrected, an area of the object lying in the image and shadowed by the instrument is determined. Another earlier OCT image in which the area of the object is not shadowed is searched in the time series. Image information for the area of the object is read from the earlier OCT image. A corrected OCT image is produced by inserting the read-image information into the OCT image to be corrected, wherein in the OCT image to be corrected, the image information replaces the area of the object which is shadowed by the instrument.

Abstract: A surgery system comprises a camera obtaining camera images, an OCT system, a data memory storing geometry data of a surgical tool 133 and a controller configured to identify a first portion of the tool in the camera images by object recognition using the geometry data; to determine, in the field of view, first locations where the tool is located and second locations aside of the tool; to trigger the OCT system to perform depth scans at the first and second locations; to identify a second portion 153 of the tool in the depth scans by object recognition using the geometry data; and to generate a first image 154 representing a third portion 157 of the tool based on the geometry data and the depth scans.

Abstract: A method for monitoring cardiac function of a patient during a magnetic resonance imaging (MRI) procedure, including: acquiring an MR image sequence of the patient's heart during a cardiac phase; segmenting a left ventricle of the patient's heart in the MR image sequence, wherein the segmentation produces endocardial and epicardial contours; representing at least one of the contours in polar or radial coordinates and computing its Fourier transform, wherein the Fourier transform produces Fourier descriptors for the contour; putting a vector of the Fourier descriptors into a classifier, wherein the classifier determines whether the contour reflects normal wall motion in the cardiac phase or whether the contour reflects abnormal wall motion in the cardiac phase; and alerting a medical practitioner when abnormal wall motion is detected.

Abstract: A method for real time monitoring of cardiac function includes defining a plurality of planes through a heart from which to acquire heart imaging data, acquiring a sequence of 2-dimensional images from said selected planes, wherein each said image comprises a plurality of intensities defined on a domain of points on a 2D grid, selecting one or more of said sequence of images to provide imaging data for monitoring heart function, wherein said remaining unselected images are adapted for diagnostic purposes, and repeating said steps of acquiring a sequence of 2-dimensional images from said selected planes and selecting one or more of said sequence of images for monitoring heart function, wherein a time sequence of images is obtained, alternating between images for monitoring heart function and images for diagnostic purposes.

Abstract: A method for displaying medical image data includes receiving medical image data including a myocardium. An endocardial contour is automatically segmented from the received medical image data. A center of mass of the automatically segmented endocardial contour is determined. A plurality of equiangular projections is defined beginning from the center of mass and projecting outwardly and cross the endocardial contour. A plurality of normal projections that correspond to the plurality of equiangular projections is defined. Each normal projection begins from an end of a corresponding equiangular projection and extends for a predetermined length, crossing the endocardial contour at a right angle. Dynamics of the myocardium along each normal projection are displayed as a function of time.

Abstract: A method for monitoring left ventricular (LV) myocardial wall thickness. The method includes: obtaining real time images of a periodically spatially changing myocardium and segmenting the myocardium in such images; calculating wall thickness of the myocardium from each one of the obtained images; and performing a dynamic harmonic analysis of the calculated thickness to determine spatial changes in the thickness of the wall of the myocardium. The method applies the calculated wall thickness to a predictor to determine changes in the thickness of the wall of the myocardium. The method applies the calculated wall thickness to a predictor to determine the periodicity the myocardium.

Abstract: Apparatus for remotely controlling parameters of an image scanning apparatus includes a software interface for translating commands from an external application for providing scanner control commands to a scanner control machine for control of the parameters; and the software interface includes syntax software for translating the commands from the external application into a given syntax for providing the scanner control commands.

Abstract: A method for displaying medical image data includes receiving medical image data including a myocardium. An endocardial contour is automatically segmented from the received medical image data. A center of mass of the automatically segmented endocardial contour is determined. A plurality of equiangular projections is defined beginning from the center of mass and projecting outwardly and cross the endocardial contour. A plurality of normal projections that correspond to the plurality of equiangular projections is defined. Each normal projection begins from an end of a corresponding equiangular projection and extends for a predetermined length, crossing the endocardial contour at a right angle. Dynamics of the myocardium along each normal projection are displayed as a function of time.

Abstract: Apparatus for remotely controlling parameters of an image scanning apparatus includes a software interface for translating commands from an external application for providing scanner control commands to a scanner control machine for control of the parameters; and the software interface includes syntax software for translating the commands from the external application into a given syntax for providing the scanner control commands.

Abstract: A method for monitoring left ventricular (LV) myocardial wall thickness. The method includes: obtaining real time images of a periodically spatially changing myocardium and segmenting the myocardium in such images; calculating wall thickness of the myocardium from each one of the obtained images; and performing a dynamic harmonic analysis of the calculated thickness to determine spatial changes in the thickness of the wall of the myocardium. The method applies the calculated wall thickness to a predictor to determine changes in the thickness of the wall of the myocardium. The method applies the calculated wall thickness to a predictor to determine the periodicity the myocardium.