Abstract: A computer-implemented medical data processing method for controlling a geometric status of a mechatronic articulable arm. Current geometric status data is acquired describing a current geometric status of the mechatronic articulable arm defined by a set of current spatial relationship between connected elements of the mechatronic articulable arm. Changed geometric status data describing a changed geometric status of the mechatronic articulable arm defined by a set of changed spatial relationship between the connected elements is determined based on current device position data, the current geometric status data, changed device position data, and device definition data. Instruction data describing an instruction for changing the geometric status of the mechatronic articulable arm from the current geometric status to the changed geometric status is determined. The instruction describes changes from the current spatial relationship to the changed spatial relationship.

Abstract: The present invention relates to a computer-implemented medical method, a computer program and a system for determining a reconstructed image augmentation of a field of view provided by an augmented reality device (3), wherein an image location and/or at least one image orientation of at least one two-dimensional reconstructed image (9, 10 10) within the field view depends on the spatial position of at least one object (8, 11, 12).

Abstract: A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.

Abstract: A computer implemented medical method of calibrating a medical instrument is provided. The method calculates a position of the instrument tip model within the indentation model, associated with an estimated position of the instrument tip within the indentation and calibrates the medical instrument, thereby using the determined position of the instrument tip model. The position of any arbitrary medical instrument tip, such as an indentation of a calibration device, can be estimated. This is an improvement of accuracy in view of the generic approach of using the same reference point of the indentation of the calibration device for any arbitrary medical instrument tip. A virtual model of a shape of a medical instrument, such as the instrument tip, is matched onto a virtual model of a shape of a calibration device, such as an indentation of the calibration device.

Abstract: The disclosed method encompasses using an augmented reality device to blend in augmentation information including for example atlas information. The atlas information may be display separately from or in addition to a patient image (planning image). In order to display the atlas information in a proper position relative to the patient image, the two data sets are registered to one another. This registration can serve for generating a diversity of atlas-based image supplements, for example alternatively or additionally to the foregoing for displaying a segmentation of the patient image in the augmented reality image. The disclosed method is usable in a medical environment such as for surgery or radiotherapy.

Abstract: A computer implemented medical method of calibrating a cage is presented. In particular, this calibration method calculates a virtual model of the cage based on a cage tip point and a cage end point, acquired by using a pointer tip of a pointing device, and at least one axis, acquired by using a pointer shaft of the pointing device along a side of the cage. This method allows for providing a more detailed virtual model of the cage, while being in compliance with sterility restrictions.

Abstract: Disclosed is a computer-implemented method of training a likelihood-based computational model for determining the position of an image representation of an annotated anatomical structure in a two-dimensional x-ray image, wherein the method encompasses inputting medical DRRs together with annotation to a machine learning algorithm to train the algorithm, i.e. to generate adapted leamable parameters of the machine learning model. The annotations may be derived from metadata associated with the DRRs or may be included in atlas data which is matched with the DRRs to establish a relation between the annotations included in the atlas data and the DRRs. The thus generated machine learning algorithm may then be used to analyse clinical or synthesized DRRs so as to appropriately add annotations to those DRRs and/or identify the position of an anatomical structure in those DRRs.

Abstract: Disclosed is a computer-implemented method for determining an orientation of an electrode using acquired two-dimensional rotational images taken while the two-dimensional imaging apparatus is rotated about the patient, and acquired three dimensional tomographic images of the anatomical structure. The electrode orientation is determined in the three-dimensional reference system of the tomographic imaging apparatus.

Abstract: A head immobilization system for immobilizing a patient's head in a supine position of the patient includes a support rail structure adapted to be coupled to a patient rest. The system can further include a mask frame adapted to be coupled to at least one deformable upper mask sheet. The mask frame is releasably connected to the support rail structure via a first interface section and a second interface section, with at least two pins protruding from the first interface section in a first direction, and at least two pin-receptions provided at the second interface section. Each one of the pin-receptions receives one of the pins. A catch-mechanism for each pin-reception and each corresponding pin allows the pin to be pushed further into the pin-reception in the first direction, but interlocks in case of an attempted withdrawal of the pin from the pin-reception in a second, opposite direction.

Abstract: Disclosed is a computer-implemented method for determining a target position of an X-ray device which encompasses acquiring image data describing an anatomical structure of a patient, for example, by means of a 3D scan, and registering the image data relative to a coordinate system of the patient, for example by means of a navigation system (embodied by registered image data). Furthermore, a trajectory of an implant positioned within the anatomical structure relative to the patient coordinate system is acquired (embodied by trajectory data). A target position of an X-ray device for acquiring an X-ray image of at least part of the implant is determined based on the registered image and the acquired trajectory of the implant (embodied by X-ray device position data).

Abstract: A medical data processing method is provided and includes: acquiring medical image data describing a digital image of an anatomical body part containing at least one nerve fibre extending between an internal part of the anatomical body part and a substantially exterior part of the anatomical body part; and acquiring atlas data describing an image-based model of the anatomical body part. The method determines, based on the medical image data and the atlas data, exterior part data describing an association between the exterior part and the nerve fibre. The method further acquires a predetermined applied stimulation signal applied to, based on the exterior part data, the exterior part and an emitted stimulation signal emitted by the nerve fibre. Correspondence measure data describing a measure of correspondence between the applied stimulation signal and the emitted stimulation signal is then determined.

Abstract: The present invention relates to a method of adjusting control commands for moving a medical camera connected to a motorized support structure, wherein the adjustment is based on images provided by the camera. Based on a comparison of at least two images provided by the camera, an actual motion of the camera is determined and compared with an intended motion defined by a control command forwarded to the motorized support structure. In case a deviation between the intended motion and the actual motion is determined, a correction is applied to the control command such that the actual motion of the camera coincides with the intended motion.

Abstract: A method of determining a focal length of a camera and/or of adjusting a viewing direction in a graphical representation of a pre-operative image is provided. The method includes providing uncalibrated camera data of a camera, specifying an initial value of a focal length of the camera, specifying a working distance value of a distance between the camera and the at least part of the tracking system, calculating a distance value of the distance between the camera and the at least part of the tracking system based on the uncalibrated camera data and based on the specified initial value of the focal length of the camera, calculating a change factor based on the specified working distance value and the calculated distance value, and calculating an adapted value of the focal length of the camera based on the initial value of the focal length and based on the change factor.

Abstract: Disclosed is a medical data processing method for determining an indicator relating to an injury of an anatomical structure (1) of a patient, wherein the method comprises executing, on at least one processor (5) of at least one computer (3), steps of: a) acquiring (S1) acceleration data describing an energy of a set of one or more signals in dependence on both time and frequency, the set of signals acquired by measuring the acceleration of the anatomical structure (1) over time; b) acquiring (S2) analysis data describing an analysis rule for determining at least one of b1) an overall energy level of at least one signal of the set of signals, b2) a correlation between at least two signals of the set of signals in the frequency domain, the at least two signals respectively measured at at least two different respective regions of the anatomical structure (1), or b3) a relationship between energies given for at least two different frequency ranges of at least one signal of the set of signals; c) determining

Abstract: The present invention relates to a computer-implemented medical method, a computer program and a medical system (1) for providing, in a medical environment, an AR-overlay that is projected into the field of view provided by an AR-device (4) as a function of the characteristics of a user's (5) view with respect to an observed object (6).