Abstract: A data processing method, performed by a computer, for determining implant positions of two implant components relative to two bones, wherein each of the implant components is to be attached to one of the bones such that the implant components form a joint between the bones, and wherein an implant position is a relative position between the implant component and the corresponding bone, said method comprising the steps of: a) acquiring a set of target poses, wherein a target pose represents a relative position to be achieved between the two bones; b) calculating a set of virtual poses for a pair of virtual test implant positions, wherein the set of virtual poses comprises one virtual pose for each of the target poses and wherein a virtual pose represents a relative position between the two bones if the virtual test implant positions were applied as the implant positions; c) calculating a pose deviation value for each of the target poses, wherein a pose deviation value represents the difference between a target

Abstract: A data processing method for determining the position of a target, comprising the steps performed by a computer: a) acquiring a target movement model specifying a movement cycle of the target; b) acquiring a target position signal representing a view of the target from a single direction and/or provided by a single imager; c) determining, based on the acquired target position signal and the target movement model, the position of the target.

Abstract: A system and method for determining the spatial position and the shape of a surgical instrument (1) having a deformable body (2) by: providing an elasticity model of the surgical instrument (1); defining at least one parameter which influences the shape of the instrument (1); determining the spatial position and/or orientation of at least one tracking sensor (3) of the surgical instrument (1); determining the value of the at least one parameter; calculating the position and/or orientation of at least one part of the surgical instrument (1) with the aid of the elasticity model together with the determined value of the at least one parameter and the determined spatial position and/or orientation of the at least one tracking sensor (3).

Abstract: A computer implemented method for performing fusion of 3D image data, which represent at least a part of a patient's body, with two 2D images of the patient's body with a known spatial relation between the viewing directions of the 2D images, comprising the steps of: —acquiring the 3D image data, —acquiring the two 2D images, —calculating two virtual images from the 3D image data, the two virtual images corresponding to the two 2D images, —classifying the two 2D images into a primary and a secondary image, —determining a primary alignment between the primary image and the corresponding virtual image such that they match, —calculating a spatial axis relative to the viewing directions of the two 2D images from the primary alignment and a predetermined point which is imaged in the virtual image which corresponds to the primary image, wherein the spatial axis is a line in space on which the predetermined point lies, and —performing fusion of the 3D image data with the two 2D images based on the calculated spatial

Abstract: The present invention relates to correlating a position of a radiation beam with a position of a target to be irradiated which is contained in a structure having a repetitive motion comprising a plurality of successive motion cycles. External position data is acquired, which describes a position the structure during different motion cycles and/or time periods. Target data is acquired, which describe a position of the target during the motion cycles and/or time periods. A correlation model is generated, which correlates the external position and the target position. A predicted target position during a motion cycle is determined based on the correlation model and acquire external position data. Primary verification data is determined that describes an difference between actual and predicted target position. When the prediction is accurate, a further prediction and verification of the target position in later motion cycles can be performed.

Abstract: A positioning device for a medical field generator includes a base member, an adaptor connected with the base member and configured to support a field generator, and a fixing member allowing the positioning device to be fixed to an associated operating table. The base member includes at least one contacting section and is configured to contact an upper surface of an operating table. The adaptor is configured to prevent the field generator from being positioned at less than a predetermined distance from the operating table. A method positions a medical field generator. The field generator is attached with the positioning device. A base member of the positioning device, with the field generator attached to it, is positioned on the upper surface of the operating table and beneath a part of a head of a patient lying on the operating table. The positioning device is fixedly attached with the operating table.

Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set.

Abstract: A method, performed by a computer, for measuring geometric length and offset differences of a subject element using landmarks obtained through, for example, analysis of medical data images. The method may include obtaining medical image data from a medical imaging device. The method includes measuring, by the computer, a first landmark vector between a femoral landmark and a second landmark at a first point in time from, for example, the medical data images. Further, the method includes measuring, by the computer, a second landmark vector between the femoral landmark and the second landmark at a second point in time which is later than the first point in time from, for example, the medical data images. Calculating an orthogonal projection of the first landmark vector into a sagittal plane and using the direction of the orthogonal projection of the first landmark vector into the sagittal plane as a length direction.

Abstract: The invention relates to a computer-implemented medical data processing method for determining a mapping of medical image content into a reference system, the method comprising executing, on a processor of a computer, steps of: a) acquiring, at the processor, medical image data describing a digital medical image of an anatomical structure of a patient's body; b) acquiring, at the processor, image attribute data describing attribute information associated with the medical image data, the attribute information including an indication of an initial reference system in which spatial relationships of the digital medical image are defined; c) acquiring, at the processor, reference system transformation data describing a spatial relationship (REG) between the initial reference system and a second reference system which is different from the initial reference system; d) determining, by the processor and based on the medical image data and the reference system transformation data, transformed image data describing a r

Abstract: Implant orientation data representing a range of functional orientations of a first implant part relative to a first bone is determined. The first implant part is part of an implant pair to be implanted in an associated patient. The implant pair includes the first implant part and a second implant part. Second implant orientation data representing an orientation of the second implant part relative to a second bone is acquired. Implant shape data representing shapes of the first and the second implant parts is acquired. Activity data representing a desired activity of the associated patient is acquired. The desired activity has an associated original range of motion between the first bone and the second bone. The implant orientation data is determined based on the second implant orientation data, the implant shape data, and the activity data.

Abstract: A method for tracking trackable objects using a medical tracking device, the tracking device being a camera or an EM transmitter, during a medical workflow comprising a plurality of workflow steps, wherein each trackable object has at least one marker and the method comprises the steps of: —acquiring a set of camera positions, wherein each tracking device position is associated with at least one workflow step; —identifying a workflow; —sequentially and automatically moving the tracking device to the camera positions associated with the workflow steps; and—performing a tracking step only when the tracking device is in a fixed position.

Abstract: A bone clamp for attachment to a bone includes a first lever and a second lever that are connected to each other by a connection, a sliding block, and a screw. The first lever has a first lever arm and a second lever arm, and the second lever has a third lever arm and a fourth lever arm, the second ends of which are configured to contact the bone. The sliding block is slidably attached to the first lever arm, the screw is pivotably mounted in the sliding block, the first lever arm includes a threaded surface for engaging with the screw mounted in the sliding block, and the sliding block includes a sliding surface on which the third lever arm slides such that the second ends of the levers approach each other when the sliding block moves along the first lever arm.

Abstract: Disclosed is a computer-implemented medical data processing method for supporting positioning a patient for treatment by at least one of radiotherapy or radiosurgery, the method comprising executing, on at least one processor of at least one computer, steps of: a) acquiring (S11), at the at least one processor, planning image data describing a digital planning image of an anatomical body part of a body (1) of the patient; b) acquiring (S12), at the at least one processor, planning image alignment data describing a relative position between the anatomical body part and a predetermined reference position at the point in time when the planning image data was generated; c) acquiring (S13), at the at least one processor, thermal reference image data describing a thermal reference image of the anatomical body part; d) acquiring (S14), at the at least one processor, thermal imaging device reference position data describing a relative position between a thermal imaging device (17) used for taking the thermal referenc

Abstract: Disclosed is a medical data processing method for determining control data for an automated movement of a robotic system (1) to move a tool operatively associated with the robotic system (1), wherein the method comprises executing, on at least one processor of at least one computer (4), steps of: a) acquiring (S1) image data describing an image of an anatomical structure of a patient; b) determining (S2) planned position data, based on the image data, describing at least one planned position of the tool relative to the anatomical structure of the patient; c) acquiring (S3) status change data describing the change of data a status of the robotic system (1) from a first status to a second status, wherein in the first status a manual movement of at least one part of the robotic system (1) is allowed and in the second status a manual movement of the at least one part of the robotic system is inhibited; d) acquiring (S4) actual position data describing the actual position of an element of the statue change data ro

Abstract: A medical data processing method for tracking the position of a body surface of a patient's body, the method comprising determining, based on initial surface reflection data and reflection pattern registration data, body surface movement data describing whether the body surface has undergone a movement.

Abstract: The present invention relates to a head immobilization system for immobilizing a patient's head in a supine position of the patient, the system comprising: a support rail structure adapted to be coupled to a patient rest and extending at least on both lateral sides of the patient's head, a mask frame adapted to be coupled to at least one deformable upper mask sheet, wherein 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, wherein each one of the pin-receptions receives one of the pins, and a catch-mechanism for each pin-reception and each corresponding pin, which allows the pin to be pushed further into the pin-reception in the first direction, but which interlocks in case of an attempted withdrawal of the pin from the pin-reception in a second, opposite direction.