Abstract: First and second skeleton model data is determined based on first and second surface data of a patient. Each of the skeleton model data describes geometries of rigid anatomic structures of a patient at a different point in time. Skeleton difference data is determined describing differences between the geometries of the rigid anatomic structures. In a next step, movement instruction data is determined which describes movement to be performed by the rigid anatomic structures to minimize the differences, i.e. to correct the posture of the patient. The movement instruction data is for example determined based on anatomy constraint data which describes anatomical movement constraints for the rigid anatomic structures (e.g. range of motion of a joint). An instruction is displayed (e.g. using augmented reality), guiding the user how to move the rigid anatomic structures so as to correct the patient's posture.

Abstract: The present invention relates to a computer-implemented medical data processing method, a corresponding computer program and a corresponding system for planning an implant placement into an anatomical structure of a patient, which allows a user to modify the implant placement within a frame defined by predefined requirements that have to be fulfilled for achieving a desired medical outcome.

Abstract: A radiotherapy feedback device is provided which provides one of a plurality of indication signals for presentation to a surgeon based on the status of a current surgical procedure. In some aspects, an indication signal is provided to the surgeon if the surgical procedure on an anatomical structure is of sufficient status so as to respond well to subsequent radiotherapy.

Abstract: A computer implemented method for determining a configuration of a medical robotic arm, wherein the configuration comprises a pose of the robotic arm and a position of a base of the robotic arm, comprising the steps of: —acquiring treatment information data representing information about the treatment to be performed by use of the robotic arm; —acquiring patient position data representing the position of a patient to be treated; and —calculating the configuration from the treatment information data and the patient position data.

Abstract: The disclosed method encompasses pre-registering an anatomical body part with a coordinate system used by an augmented reality device (such as augmented reality glasses) for outputting (e.g. displaying or projecting) augmentation information. An example of the augmentation information is the position (in the real image captured by the augmented reality device) of a fine registration area on the anatomical body part which a user is supposed to identify for fine registration of the anatomical body part with a tracking coordinate system used by a medical position tracking system. The disclosed method is usable in a medical environment such as for surgery or radiotherapy.

Abstract: The present invention relates to computer-implemented medical method of verifying an expected deformation of an elastically deformable and actuator-adjusted medical fine-adjustment unit (1), the method comprising executing, on a processor of a computer, the steps of; —acquiring model data describing a model of the fine-adjustment unit (1), the model reflecting deformation properties of the fine-adjustment unit (1); —acquiring actuator data describing an actuator position of at least one actuator coupled to the fine-adjustment unit (1); —determining, based on the model data and the actuator data, target deformation data describing a target deformation of the fine-adjustment unit (1) caused by the at least one actuator at said actuator position; —acquiring actual deformation data describing an actual deformation of the fine-adjustment unit (1) caused by the at least one actuator at said actuator position; —determining, based on the target deformation data and the actual deformation data, verification data descr

Abstract: A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.

Abstract: A medical tracking system comprising at least two sensor devices which are independently maneuverable and can be positioned in a fixed position relative to targets, each sensor device comprising at least one of an orientation sensor and a position sensor for respectively determining sensor data, the system further comprising a control unit configured to receive and combine the at least two sensor data of the at least two sensor devices in order to determine a relative position between at least two of the at least two sensor devices.

Abstract: A medical tracking method for tracking a spatial position of a medical instrument within a medical workspace including an anatomical structure of a patient. The method includes: acquiring, using a first camera targeted on the medical workspace, instrument position data describing a spatial position of the medical instrument with respect to a first camera; acquiring, using a second camera and at least one optical tracking marker that is adapted to be recognized by the second camera, camera position data describing a spatial position of the first camera with respect to the anatomical structure, determining, based on the instrument position data and the camera position data, tracking data describing the spatial position of the medical instrument with respect to the anatomical structure; and tracking the spatial position of the medical instrument within the medical workspace using the tracking data.

Abstract: Disclosed is a computer-implemented method of determining a hypersurface image from a tomographic image data set describing a tomographic image of an anatomical body part. The method encompasses a locally depth-of-view-corrected reconstruction of a volumetric data set (pre-operative image data, like CT or MRI image data), in order to e.g. augment volumetric image data onto e.g. a microscope view, or in the head-up display of the microscope. For the depth correction, a surface model of the actual anatomical surface of the anatomical body part is used which encompasses a hypersurface reconstruction pf the volumetric data set. Thus, the correct information related to the tissue at the current visible surface is overlaid.

Abstract: The disclosed method encompasses reconstruction of a three-dimensional position of a tracking structure (which may comprise a target of radiation treatment) as reconstructed tracking structure data from pairs of two-dimensional tracking images which are input as tracking image data. Each tracking image contained in a pair of tracking images is compared to a tracking representation of the tracking structure contained in a search template image generated from the same perspective onto the tracking structure as the associated tracking image and input as search template data. The tracking image having the highest at local degree of similarity to its associated search template image is selected as a starting point (the first tracking image) for computing a corresponding image position (a complement point) in the other tracking image (the second tracking image) on the basis of applying epipolar geometry outgoing from the position in the first tracking image associated with the highest local degree of similarity.

Abstract: A method is provided for determining an orientation of nerve fibres relative to a non-physiological electric field. Patient medical image data is acquired, which describes a patient medical image of an anatomical body part of a patient's body. The anatomical body part includes nerve tissue comprising white matter nerve fibres. Diffusion image data is acquired, which describes a diffusion-enhanced image of the anatomical body part. Atlas data is acquired, which describes a spatial distribution of grey value-based tissue classes in a model body part representing a model of the anatomical body part. Based on the patient image data, the diffusion image data, and the atlas data, fibre orientation data is determined. The fibre orientation data describes an orientation of the white matter nerve fibres. Electric field orientation data is acquired, which describes an orientation of the non-physiological electric field.

Abstract: Disclosed is a computer-implemented medical data processing method for planning a position of an electric stimulation device for neurostimulation of at least two target regions (TV1, . . . , TVN) disposed in an anatomical body part of a patient's body, the electric stimulation device (7) comprising at least two electric contacts, the method comprising executing, on at least one processor of at least one computer (3), steps of: a) acquiring (S1.1), at the at least one processor, medical image data describing a digital image of the anatomical body part, wherein the anatomical body part contains at least two target regions (TV1, . . . , TVN); b) determining (S1.2), by the at least one processor and based on the medical image data, target position data describing a position of each target region (TV1, . . . , TVN) in the anatomical body part; c) acquiring (S1.

Abstract: The present invention relates to an adjustable trajectory guide having a guide portion adapted to hold or provide a guiding for a medical instrument along a defined trajectory, and at least one adjustment section comprising: at least one elongated flexible beam member connected at its first end to the guide portion, and having at its second end a first engagement interface adapted to provide a connection to a support structure holding the trajectory guide; at least one second engagement interface which is movable relative to the at least one beam member and which is adapted to provide a connection to an actuator, at least one coupling member coupling the first end of the beam member to the second engagement interface, wherein the coupling member is capable of transmitting force and/or torque from the second engagement interface to the first end of the beam member.

Abstract: This document relates to a medical application of augmented reality in which areal image shows a medical device, or at least a part thereof. In an exemplary application, the real image further shows at least a part of a patient's body which is (to be) treated using the medical device. A part of the medical device might not be visible in the real image, for example because it extends into or behind the patient's body. In this case, the virtual image can comprise an augmentation of the medical device, which, for example, represents at least the part of the medical device which is invisible in the real image. This document in particular addresses a correct alignment of the augmentation with the medical device.

Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.