Abstract: The present invention relates to a medical data processing method of determining the representation of an anatomical body part (2) of a patient (1) in a sequence of medical images, the anatomical body part (2) being subject to a vital movement of the patient (1), the method being constituted to be executed by a computer and comprising the following steps: a) acquiring advance medical image data comprising a time-related advance medical image comprising a representation of the anatomical body part (2) in a specific movement phase; b) acquiring current medical image data describing a sequence of current medical images, wherein the sequence comprises a specific current medical image comprising a representation of the anatomical body part (2) in the specific movement phase, and a tracking current medical image which is different from the specific current medical image and comprises a representation of the anatomical body part (2) in a tracking movement phase which is different from the specific movement phase;

Abstract: Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data, training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient-specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images.

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: 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: A head stabilization device or HFD includes a plurality of integrated markers. The HFD may be in the form of a skull clamp, vacuum bag, combinations thereof, or other supporting structure. The integrated markers include MRI markers detectable by an MRI scanner and fiducial markers detectable by a registration tool of a navigation system. The markers provide a reference point relative to an operation site in a patient for use in a navigation guided procedure and aid in registering or calibrating the location of the patient with captured images used in the navigation guided procedure.

Abstract: A system is disclosed for determining a coverage of a target anatomical structure by an electric stimulation field. The system includes a computer to acquire patient image data and the atlas data, determine, based on the patient image data and the atlas data, target structure position data describing a position of the target anatomical structure in the medical image of the anatomical body part of the patient. The system also acquires electrode position data and stimulation field data describing an electric stimulation field around the position of the electrode. The system also includes an electrode configuring device for adjusting an emission configuration of the electrode.

Abstract: The present invention relates to a computer-implemented medical method for monitoring a spatial position of a patient's body part, wherein at least one optimum spatial direction for a line of sight of a check x-ray-image is determined, that qualifies for quantifying a deviation of the spatial position of the patient's body part from a target spatial position for the patient's body part. The present invention further relates to a corresponding computer program and a corresponding medical system.

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: This document relates to determining the configuration of a medical imaging system, in particular a configuration which defines a desired viewing direction of the medical imaging system onto a patient. First, a fluoroscopic image of at least a part of a patient is captured using the medical imaging system and the target central beam is set in the fluoroscopic image. Then a target line in space is determined which, when projected into the fluoroscopic image, coincides with the set target central beam. Then the configuration of the medical imaging system is determined such that the central beam of the medical imaging system coincides with the target line in space.

Abstract: The present invention relates to a computer-implemented medical method for improving the suitability of a tracking structure for tracking by tessellating the tracking structure into a plurality of sub-tracking structures. The invention also relates to a computer configured to execute a program corresponding to the method and a medical system for improving the suitability of a tracking structure for tracking, the system including the aforementioned computer.

Abstract: Computer-implemented methods and systems (DMS) for facilitating data similarity queries across a network (CN) of data memories (DM1, DM2). The disclosed methods and system are configured for matching data items held in the data memories (DM1, DM2) in a probabilistic manner with cryptographic protection of the data items. The data matching methods and systems (DMS) are robust against inconsistencies within the data to be matched (such as typographical errors, minor mismatches etc), within a certain predetermined similarity threshold (q), usually described as a percentage. The disclosed methods and systems (DMS) allow fast, low latency turnaround by aggregating the data items to be matched into data structures (M1, M2) that facilitate group-wise matching as opposed to pair-wise matching.

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 positional pattern of an irradiation unit for irradiating a patient with treatment radiation is determined based on optimal order data describing an order of the irradiation unit positions for which the statistical value is optimal. The optimal order data is determined based on irradiation unit position data describing irradiation unit positions of the irradiation unit for which the imaging device has a free viewing direction onto the position of the patient, position orders data describing all possible orders of the irradiation unit positions for which the imaging device has a free viewing direction onto the position of the patient, and intersection angle data describing a statistical quantity of the intersection angles between free viewing directions of the imaging unit for irradiation unit positions which are immediately subsequent in the order described by the position orders data.

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 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: The invention relates a method and an apparatus of predicting or planning a temperature distribution (52) in a body. The method comprises the steps of: a) obtaining a model of the body (50) related to a temperature transport mechanism or temperature distribution (52) in the body; b) simulating an application of heat to at least a part of the body such as targeted tissue; c) determining and/or predicting the temperature (52) or heat distribution in at least a part of the body using the model of the body (50).

Abstract: Disclosed is a computer-implemented method of determining an assignment of an object acquire patient image data of interest recognizable in a digital medical patient image such as a tumour or other medical anomaly such as an implant to an anatomical region. The medical patient image is registered with atlas data, The assignment is then determined by calculating a score value defining an amount of volume intersection between the object of interest and a digital object defining a specific anatomic region, for example a bounding box around a specific organ, which is defined in the atlas data.

Abstract: Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.

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.