Abstract: During a sEEG (stereo-electroencephalography) intervention into the skull of a patient, there is requirement to drill a large number of trajectories. Typically, instrument stabilisation platforms and robots for protocols requiring only one or two trajectories are rigidly fixed to the skull using surgical anchor members fixed into the skull around the one or two trajectories. However, because sEEG interventions require a large number of trajectories, an impractical number of surgical anchor members need to be fixed into the skull resulting in patient discomfort. Attachment of an intervention platform to all surgical anchor members is not required at once. Accordingly, it is proposed to search for intersection points of the maximum extent of an intervention platform between at least two trajectory entry points on an object of interest of patient, so that at least one surgical anchor member can be shared when the intersection point is at first and the second trajectories.

Abstract: The invention relates to a medical registration apparatus (1), comprising •two flanks (2a, 2b); •a pivot portion (3) around which at least one of the flanks (2a, 2b) is rotatable with respect to a rotation centre (3c, 3d) (FIG. 1, FIG. 3); •a contacting portion (4a, 4b) on each of the flanks (2a, 2b), each contacting portion (4a, 4b) being spaced apart from the rotation centre (3c, 3d); and •a sensor (5, 6) being arranged with an offset (r, FIG. 4 A) to a line (a) connecting the contacting portions (4a, 4b). The invention also relates to a data processing method for use with the medical registration apparatus.

Abstract: Disclosed is a computer-implemented method of determining one or more position and/or orientation parameters of an anatomical structure of a body portion. The anatomical structure has a longitudinal shape defining a longitudinal axis. The method includes generating and/or reading, by a data processing system, volumetric data of at least a portion of a subject. The method further includes generating and/or reading, by the data processing system, a deformable template which provides an estimate for a location of the longitudinal axis in the portion of the subject. The method further includes matching, by the data processing system, the deformable template to the volumetric data, thereby obtaining a matched template. The matching comprises using one or more internal energy functions and one or more external energy functions for optimizing an objective function.

Abstract: A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements represen

Abstract: A hybrid phantom having marker patches that are visible both in a thermal image captured by a thermal camera and a 3D point cloud generated by a 3D camera. A thermal insulation between the marker, patches and a carrier part of the phantom maintains a temperature difference between the marker patches and the carrier part such that the marker patches are visible in the thermal image. Different optical properties of the marker patches and the carrier part make them distinguishable in the 3D point cloud.

Abstract: Provided is a method for determining a position of an imaged anatomical body part of a patient. The method includes acquiring patient image data describing a digital image of at least part of a reference device and the anatomical body part, acquiring reference device model data describing a model of at least one of at least one internal surface or at least one external surface of the reference device, determining, —based on the patient image data and the reference device model data, reference device image position data describing a relative position between the reference device and the anatomical body part, acquiring reference device tracking data describing a position of the reference device in the tracking reference system, and determining, based on the reference device image position data and the reference device tracking data, body part tracking data describing a position of the anatomical body part in the tracking reference system.

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: 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.