Abstract: A framework for generating natural language text describing a change between first medical imaging data and second medical imaging data is disclosed. Imaging data representative of the first medical imaging data and the second medical imaging data, or of a difference between the first medical imaging data and the second medical imaging data, is obtained. The imaging data is input into a first trained machine learning model to generate an image feature vector representative of the difference between the first medical imaging data and the second medical imaging data. Data representative of the image feature vector is input into a second trained machine learning model to generate the natural language text describing the change between the first medical imaging data and the second medical imaging data.

Abstract: A computer implemented framework for determining data representing a change between first medical imaging data and second medical imaging data is disclosed. Imaging data representative of a difference between the first medical imaging data and the second medical imaging data is obtained. The imaging data is input into a trained image processing machine learning model to generate an image feature vector. A plurality of text feature vectors is obtained, each text feature vector being representative of natural language text describing a respective change in medical imaging data. For each of the plurality of text feature vectors, a similarity measure indicating a degree of similarity to the image feature vector determined. A text feature vector is selected. The data representing the change between the first medical imaging data and the second medical imaging data is determined based on the selected text feature vector.

Abstract: Techniques are described for a charged particle optical apparatus that includes a loop of solid material that encloses a bore and a wire winding poloidally wrapped around the loop surrounding the bore. A current is applied to the toroidal winding generating a magnetic field inside the loop along a toroidal direction of the loop and generating magnetic vector potential within the bore. When charged particle(s) pass through the bore of the loop, the magnetic vector potential focuses the charged particles based on the focal point of the charged particle optical apparatus.

Abstract: A fastening device (100), for fastening to a plate-like element, has a head (110) and a foot (120). The foot (120) has: a core (121) extending from the head (110) along an axis of rotation; and at least one group of blades (122) which are elastic at least in regions and extend outwards from the core (121). Each of the blades (122) has an oblique shoulder (123) or a shoulder with a finely stepped gradation, formed on the outer edge of the corresponding blade (122), said outer edge being arranged towards the head (110). The oblique shoulder (123) or the individual steps of the gradation of the shoulder is inclined with a slope with respect to a plane which has the axis of rotation of the core as a perpendicular. The shoulders (123) of the blades are arranged at different heights from one another along the axis of rotation.

Abstract: A computer-implemented method for identifying pathological changes in follow-up medical images is provided. In an embodiment, the method includes: providing reference image data showing a body part of a patient at a first time; providing follow-up image data showing a body part of a patient at a subsequent second time; generating one or more deformation fields for the reference image data and the follow-up image data describing anatomical deformations in the body part between the reference image data and the follow-up image data using at least one image registration; aligning the reference image data and the follow up image data using the one or more deformation fields to generate co-aligned image data; analyzing the co-aligned image data to identify pathological changes in the body part from the reference image data to the follow image data using a machine learned network trained to recognize pathological relevant changes in co-aligned image data.

Abstract: A selective laser scanner, comprising a target component which can be rotated about two rotation axes and is configured to transmit a distance measuring beam defining a target axis. The selective laser scanner further comprises a distance measuring unit configured to carry out distance measurements by means of the distance measuring beam on cooperative targets or on diffusely scattering targets. The selective laser scanner is equipped with a plurality of overview cameras arranged on the target component offset from the target axis in a fixed positional arrangement with respect to each other having field of views which at least partly overlap each other. The selective laser scanner further comprises a display for displaying an environment image provided by imaging data of at least one of the cameras as well as automatic feature and area detections.

Abstract: The disclosure relates to a device for holding at least two valves within a component, such as, for example, an air spring, an air suspension strut, or an air suspension damper. In embodiments, a may device comprise at least two fixing bodies fixedly connected to each other for fixing the valves in valve seats of the component and at least two securing elements fixedly connected to the fixing bodies for securing the device in an assembly position on the component. Thus, the disclosure may provide an improved device for holding valves in which the number of parts may be reduced and/or which may be inexpensive.

Abstract: A system and method include identification of a plurality of sub-volumes of an image volume, each of the plurality of sub-volumes of the image volume associated with a respective one of a plurality of vertebra, registration of each of the plurality of sub-volumes of the image volume to one of a plurality of reference sub-volumes associated with a same respective vertebra, input of the registered sub-volumes and the image volume to a trained neural network, reception of an output image volume from the trained neural network, the output image volume labeled to associate voxels with respective vertebra, and display of the output image volume.

Abstract: A seat belt guide device for a passenger restraint belt of a motor vehicle is provided, wherein the seat belt guide device includes a fastening device with at least one spring-actuated catching device, with which the seat belt guide device can be snap-fitted or fastened to a motor vehicle in an assembly direction, wherein the seat belt guide device is preferably molded from at least one plastic injection.

Abstract: A tolerance compensation device includes a base device having a tubular fastening portion that includes an internal, right-hand thread for receiving a screw-like fastening element. A tubular connecting portion, for connecting to a compensation structure, has an outer jacket wall that includes an external thread for connecting to a compensation structure, and a compensation structure having a flange-like setting element. An inner jacket wall of the setting element includes a threading configured to correspond to the external thread, and a socket-like anti-rotation element is disposed in a through-opening of the setting element, and an outer jacket wall of the anti-rotation element is connected to an inner jacket wall of the tubular connecting portion in a non-rotatable manner. The compensation structure is configured for presetting a distance in axial direction between the base device and a contact wall of the compensation structure extending orthogonally to the axial direction.

Abstract: A computer implemented method and apparatus for determining a location at which a given feature is represented in medical imaging data is disclosed. A first descriptor for a first location in first medical imaging data is obtained. The first location is the location within the first medical imaging data at which the given feature is represented. A second descriptor for each of a plurality of candidate second locations in second medical imaging data is obtained. A similarity metric indicating a degree of similarity with the first descriptor is calculated for each of the plurality of candidate second locations. A candidate second location is selected from among the plurality of candidate second locations based on the calculated similarity metrics. The location at which the given feature is represented in the second medical imaging data is determined based on the selected candidate second location.

Abstract: A fastening device (100), for fastening to a plate-like element, has a head (110) and a foot (120). The foot (120) has: a core (121) extending from the head (110) along an axis of rotation; and at least one group of blades (122) which are elastic at least in regions and extend outwards from the core (121). Each of the blades (122) has an oblique shoulder (123) or a shoulder with a finely stepped gradation, formed on the outer edge of the corresponding blade (122), said outer edge being arranged towards the head (110). The oblique shoulder (123) or the individual steps of the gradation of the shoulder is inclined with a slope with respect to a plane which has the axis of rotation of the core as a perpendicular. The shoulders (123) of the blades are arranged at different heights from one another along the axis of rotation.

Abstract: A tolerance compensation device includes a base device having a tubular fastening portion that includes an internal, right-hand thread for receiving a screw-like fastening element. A tubular connecting portion, for connecting to a compensation structure, has an outer jacket wall that includes an external thread for connecting to a compensation structure, and a compensation structure having a flange-like setting element. An inner jacket wall of the setting element includes a threading configured to correspond to the external thread, and a socket-like anti-rotation element is disposed in a through-opening of the setting element, and an outer jacket wall of the anti-rotation element is connected to an inner jacket wall of the tubular connecting portion in a non-rotatable manner. The compensation structure is configured for presetting a distance in axial direction between the base device and a contact wall of the compensation structure extending orthogonally to the axial direction.

Abstract: A seat belt guide device for a passenger restraint belt of a motor vehicle is provided, wherein the seat belt guide device includes a fastening device with at least one spring-actuated catching device, with which the seat belt guide device can be snap-fitted or fastened to a motor vehicle in an assembly direction, wherein the seat belt guide device is preferably molded from at least one plastic injection.

Abstract: A system includes an attachment part and a holding element for holding the attachment part on a carrier part, the holding element having a threaded part connected to the attachment part and an internal thread for a holding screw, and a spacer part, the spacer part and the threaded part having interacting threads, the spacer part having a through opening flush with the internal thread of the threaded part when the spacer part is screwed to the threaded part, with the result that the carrier part can be held between a head of the holding screw and the spacer part, the threaded part having a holding section for holding the attachment part, the holding section having at least one latching element which interacts with at least one corresponding latching element of the attachment part for releasably latching the attachment part on the threaded part.

Abstract: A computer-implemented method for identifying pathological changes in follow-up medical images is provided. In an embodiment, the method includes: providing reference image data showing a body part of a patient at a first time; providing follow-up image data showing a body part of a patient at a subsequent second time; generating one or more deformation fields for the reference image data and the follow-up image data describing anatomical deformations in the body part between the reference image data and the follow-up image data using at least one image registration; aligning the reference image data and the follow up image data using the one or more deformation fields to generate co-aligned image data; analyzing the co-aligned image data to identify pathological changes in the body part from the reference image data to the follow image data using a machine learned network trained to recognize pathological relevant changes in co-aligned image data.

Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.

Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.

Abstract: A system and method include identification of a plurality of sub-volumes of an image volume, each of the plurality of sub-volumes of the image volume associated with a respective one of a plurality of vertebra, registration of each of the plurality of sub-volumes of the image volume to one of a plurality of reference sub-volumes associated with a same respective vertebra, input of the registered sub-volumes and the image volume to a trained neural network, reception of an output image volume from the trained neural network, the output image volume labeled to associate voxels with respective vertebra, and display of the output image volume.

Abstract: A framework for selective image reconstruction. In accordance with one aspect, the framework receives at least one first image that is reconstructed based on at least one first reconstruction attribute. At least one region of interest may then be identified in the at least one first image. The framework may selectively reconstruct at least one second image of the region of interest based on at least one second reconstruction attribute, wherein the second reconstruction attribute is different from the first reconstruction attribute. Results may then be generated based on the at least one second image.