Abstract: The disclosed method for monitoring a subject position comprises determining a deviation of a position of a predetermined portion of a subject from a predetermined position of the predetermined portion of the subject, and, based on the deviation, determining correction data, the correction data specifying one or more corrections to be performed on the subject position as part of a position correction procedure and specifying one or more rotational corrections as being excluded from the position correction procedure. The method further comprises setting reference data as a reference for subsequent monitoring of changes of the subject position, wherein the reference data comprises the correction data and initial image data acquired prior to performing the position correction procedure and/or corrected initial image data that has been corrected based on the correction data.

Abstract: Disclosed is a computer-implemented method which encompasses comparing the requirements for radiation therapy imposed by a patient's individual condition to the capabilities and requirements of different types of treatment machines to determine a suitable radiation treatment strategy including an identification of the treatment machine which shall be used and a treatment plan. Furthermore, a treatment plan is generated by simulating the envisaged radiation treatment. The type of treatment machine associated with a predetermined value for the sum of weights for all fields assigned to that treatment machine is determined as the treatment machine for treating the patient, and corresponding information is output detailing the treatment specifics such as radiation treatment parameters specifically suited for the patient target region tumor thereby reducing radiation exposure, efficient use of the machine and appropriate gating and tracking modes.

Abstract: Disclosed is a computer-implemented method which encompasses registering a tracked imaging device such as a microscope having a known viewing direction and an atlas to a patient space so that a transformation can be established between the atlas space and the reference system for defining positions in images of an anatomical structure of the patient. Labels are associated with certain constituents of the images and are input into a learning algorithm such as a machine learning algorithm, for example a convolutional neural network, together with the medical images and an anatomical vector and for example also the atlas to train the learning algorithm for automatic segmentation of patient images generated with the tracked imaging device. The trained learning algorithm then allows for efficient segmentation and/or labelling of patient images without having to register the patient images to the atlas each time, thereby saving on computational effort.

Abstract: An incision foil made of a sterile, thin adhesive plastic film with a defined pattern printed on it (e.g. a fine grid pattern) can be stuck e.g. on a patient's skin surface and which marks the anatomical region of interest. Using a camera, images are acquired of the attached film and the deformation of the pattern is digitized. With a computer vision algorithm the surface of the patient, which corresponds to the surface of the film, is reconstructed from the detected pattern features in the images in comparison to the known original undeformed pattern. A method determines a geometry of the surface of the patient using the incision foil.

Abstract: The disclosed method encompasses performing local dimming of a dimmed area within a display area of mixed reality glasses. The dimmed area comprises a part of the display area on which a virtual object is displayed. While local dimming increases perceptibility of the virtual object, it might impair usability since it blocks real world objects from view. This is avoided by reducing a dimming intensity of the local dimming in at least a part of the dimmed area.

Abstract: Disclosed is a computer-implemented method of transmitting identification information of a medical instrument. The method encompasses comparing a digital image of an instrument tray and an instrument to a digital image of just the instrument tray to determine the identity of the instrument. A characteristic geometry such as its envelope is assigned to the instrument, and a characteristic quantity of the envelope such as its aspect ratio may be used to identify the instrument. Based on determining, from the image of the instrument and the instrument tray, the relative position between those two entities, the method determines whether the instrument has been taken from the instrument tray, and accordingly instructs a medical computing system about this determination. The medical computing system may then determine whether the correct instrument has been taken from the instrument has been taken from the instrument tray, for example by comparison with medical procedure planning data.

Abstract: Disclosed are computer-implemented methods which encompass determining whether two medical images were taken of the same patient. In a first aspect, this is done by analysing a registration of the two images with one another. The registration may be a direct registration between the two images or an indirect registration, for example via an atlas to which each image is registered. In other aspects, a machine learning algorithm is trained on the basis of image registrations to determine whether the two images were taken of the same patient. The disclosed methods serve the purpose of being able to group medical images together which were taken of the same patient without having to provide or otherwise process data about the identity of the patient.

Abstract: Disclosed are computer-implemented methods of training a learning algorithm on the basis of audio and image data which has been pre-processed to generate a time-synchronized transcript of the audio information and the image information to allow the learning algorithm to identify a medical device such as a medical instrument or a medical instrument on an instrument table which is visible in the image data and output corresponding information to a user. Embodiments include additional prediction of a next instrument to be used and a counting of instruments which have been used.

Abstract: A cranium bracing system includes a strut mount adapter and a bracing strut, wherein the strut mount adapter is adapted to connect the bracing strut to a cranium hole base member which is rigidly connected to a patient's cranium. The strut mount adapter includes a first connecting section with one or more engaging members configured to engage with the correspondingly formed cranium hole base member to fixedly connect the strut mount adapter to the cranium hole base member. The strut mount adapter further includes a second connecting section configured to engage with a correspondingly formed connecting section of the bracing strut to connect the strut mount adapter to the bracing strut, and a passage extending through the strut mount adapter and having a first passage opening at the first connecting section and an opposed second passage opening.

Abstract: The present disclosure relates to a computer-implemented method for calibrating an optical system of a surgical microscope, a corresponding computer program, a computer-readable storage medium storing such a program and a computer executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The present disclosure further relates to a computer-implemented method, a computer program and a system for determining the spatial position of an object to be tracked not only via the surgical microscope, but also via a separate detection system. In case a deviation between the detected spatial positions is recognized, the optical system of the surgical microscope is re-calibrated.

Abstract: The present disclosure relates to a system and a computer-implemented medical method for manipulating at least one first, non-motorized medical carrier structure via a second, motorised medical carrier structure, wherein the second, motorized medical carrier structure is adapted to engage the first, non-motorized carrier structure to subsequently move a predefined section of the non-motorized carrier structure to a desired target position. The present disclosure further relates to a corresponding computer program and a corresponding medical system.

Abstract: An incision marker is projected onto a patient using a movable gantry carrying a medical imaging system and at least one laser which is adjustable relative to the gantry. The medical imaging system is used for capturing a fluoroscopic or x-ray image of at least a part of the patient from a viewing direction. Then a virtual marker is set in the captured image in order to indicate a point or region of interest, for example as a point or at least one line of an incision. Then the laser is used to indicate, from a projection direction different from the viewing direction, the point or region of interest onto the surface of the patient, thus making the point or region of interest visible from the outside.

Abstract: Disclosed is a method and a device for characterizing, for example identifying at least one object depicted in a raster image (1) or determining the speed of sound of the object, the raster image (1) having pixel rows and pixel columns. In order to efficiently and accurately characterize the object, the invention provides that several pixel columns (Cn) are selected and each of the selected pixel columns (Cn) is converted into a line profile (L), the amplitude of the line profile (L) representing the value (V) of image information of selected pixels of the respective selected pixel column (Cn), wherein the method comprises determining characteristics of the line profiles (L) and using the characteristics to characterize the at least one object depicted in the raster image (1).

Abstract: Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data.

Abstract: By using the Al module, the method of the present invention calculates, i.e. predicts, the dependency Ci (pi) of a radiotherapy (RT) quality criterion C, from an adjustment of such a radiotherapy planning parameter pi. In this way, the decision making process in RT treatment plan optimization is streamlined by prediction of promising settings of one or more radiotherapy planning parameters p, before the actual time intensive iterative optimization process is carried out. This is achieved by applying an Al module, which has been trained to predict the specific behaviour of the dose optimization algorithm, i.e. the optimizer, with respect to geometric patient data, dose prescription and treatment indication data. Thus, a computer-implemented medical method of predicting a dependency Ci (pi) of a radiotherapy (RT) quality criterion Ci from an adjustment of a radiotherapy planning parameter p, is presented.

Abstract: The present invention relates to a method for determining the spatial position of objects, in particular medical objects. First position data is acquired that describes a spatial position of an object in a first coordinate system. First transformation data is acquired that transforms the object's position from the first coordinate system to a second coordinate system. Based on the foregoing data, second position data is acquired that specifies the spatial position of the object in the second coordinate system. Second transformation data is acquired that transforms the object's position from the second coordinate system to an inertial coordinate system. Based on the second position data and the second transformation data, inertial position data is determined that specifies a position of the object in the inertial coordinate system.

Abstract: This document relates to technologies of determining a configuration of a medical imaging system comprising an x-ray source and an x-ray detector mounted on a gantry and an x-ray source collimator for shaping the x-ray beam emitted by the x-ray source, wherein at least one of the x-ray source and the x-ray detector is movable along the gantry. The configuration of the medical imaging system comprises the position of the x-ray source, the position of the x-ray detector and the settings of the x-ray source collimator and is to be used for capturing a marker image, wherein the position of the marker device can be calculated using the marker image.

Abstract: Disclosed is a computer-implemented method which encompasses registering a tracked imaging device such as a microscope having a known viewing direction and an atlas to a patient space so that a transformation can be established between the atlas space and the reference system for defining positions in images of an anatomical structure of the patient. Labels are associated with certain constituents of the images and are input into a learning algorithm such as a machine learning algorithm, for example a convolutional neural network, together with the medical images and an anatomical vector and for example also the atlas to train the learning algorithm for automatic segmentation of patient images generated with the tracked imaging device. The trained learning algorithm then allows for efficient segmentation and/or labelling of patient images without having to register the patient images to the atlas each time, thereby saving on computational effort.

Abstract: The present invention relates to a method for registering a virtual representation of a patient anatomy with a coordinate system of a physical patient anatomy, comprising displaying first overlap data in a head-mounted device, wherein the first overlap data describe from a first perspective onto the physical patient anatomy a first visual overlap between the virtual representation of the patient anatomy and the physical patient anatomy, identifying at least a first area in the first visual overlap and/or at least a first anatomical feature of the patient anatomy in the first visual overlap having at least a minimum degree of alignment between the virtual representation and the physical patient anatomy, displaying second overlap data in the head-mounted device, wherein the second overlap data describe from a second perspective onto the physical patient anatomy a second visual overlap between the virtual representation of the patient anatomy and the physical patient anatomy, and taking into account, during the