Abstract: The present application relates to a data processing method for determining the position of a soft tissue body part within a patient's body. The data processing method includes acquiring CT-image data including information about the position of the body part within a coordinate system assigned to a transportable CT-device, wherein the patient's body is positioned relative to the treatment device, and wherein the CT-device is configured to be positioned relative to the patient's body and/or relative to the treatment device, acquiring first transformation data including information about a first transformation between the coordinate system assigned to the CT-device and a coordinate system assigned to the treatment device, and determining, based on the CT-image data and the first transformation data, position data including information about the position of the body part within the coordinate system assigned to the treatment device.

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 determining a correspondence between a region of interest as it appears in a first digital medical patient image and as it appears in a second digital medical image. The correspondence is determined by calculating the ratio of overlap of the region of interest with a data object defining an anatomical body part in the first image and the second image and determining whether the larger of the two ratios exceeds a threshold. If the threshold is exceeded, the method assumes that the appearances in the two images describe the same region of interest.

Abstract: The present invention relates to a computer-implemented medical method, a computer program and a system (1) for controlling a display (6) in a medical environment based a user's (8) viewing direction and gestures performed by the user (8), particularly involving the use of AR-goggles (9).

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: 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: 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: 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 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 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: The present invention relates to a computer-implemented medical method, a computer program and a system (1) for controlling a display (6) in a medical environment based a user's (8) viewing direction and gestures performed by the user (8), particularly involving the use of AR-goggles (9).

Abstract: The present invention relates to a computer-implemented medical method, a computer program and a medical system (1) for providing, in a medical environment, an AR-overlay that is projected into the field of view provided by an AR-device (4) as a function of the characteristics of a user's (5) view with respect to an observed object (6).

Abstract: A medical image processing method performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.

Abstract: The invention relates to a method of determining a radiotherapy treatment plan for radiotherapy treatment of a treatment body part of a patient's body. The method can include acquiring treatment target position data comprising treatment target position information describing the position of a treatment target to be treated by radiotherapy in the treatment body part. Statistic model target region position data is acquired, which describes the position of a model target region in a model body part corresponding to the treatment body part. Based on the treatment target data and the statistic model target region position data, irradiation region position data is determined that describes the position of an irradiation region to be treated by irradiation with treatment radiation in the treatment body part.

Abstract: The present invention relates to a medical data processing method of determining an outcome quality of a medical procedure, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring (S1) pre-completion medical image data describing an anatomical structure of a patient's body in a state before the medical procedure has been completed on the anatomical structure, the anatomical structure being subject to the medical procedure; b) acquiring (S1) pre-completion non-image medical data describing a state and medical history of the patient before the medical procedure has been completed on the anatomical structure; c) acquiring (S2) medical procedure planning data describing a plan for execution of the medical procedure to be carried out on the anatomical structure; d) determining (S2), based on the pre-completion medical image data and the medical procedure planning data, procedure application describing an application of the medical procedure planning data to the pr

Abstract: The present invention relates to a medical tracking system comprising at least one sensor device which can be positioned in a fixed position relative to a target, the sensor device comprising a marker device and a marker device detector, the marker device detector being capable of obtaining information for determining a relative position between the marker device detector and another marker device, the system further comprising a control unit configured to process a medical navigation workflow and to select the function of the sensor device as either acting as a marker device detector or as a marker device in a step of the medical navigation workflow.

Abstract: A medical image processing method performed by a computer, for measuring the spatial location of a point on the surface of a patient's body including: acquiring at least two two-dimensional image datasets, wherein each two-dimensional image dataset represents a two-dimensional image of at least a part of the surface which comprises the point, and wherein the two-dimensional images are taken from different and known viewing directions; determining the pixels in the two-dimensional image datasets which show the point on the surface of the body; and calculating the spatial location of the point from the locations of the determined pixels in the two-dimensional image datasets and the viewing directions of the two-dimensional images; wherein the two-dimensional images are thermographic images.

Abstract: Disclosed is a medical data processing method for determining an indicator relating to an injury of an anatomical structure (1) of a patient, wherein the method comprises executing, on at least one processor (5) of at least one computer (3), steps of: a) acquiring (S1) acceleration data describing an energy of a set of one or more signals in dependence on both time and frequency, the set of signals acquired by measuring the acceleration of the anatomical structure (1) over time; b) acquiring (S2) analysis data describing an analysis rule for determining at least one of b1) an overall energy level of at least one signal of the set of signals, b2) a correlation between at least two signals of the set of signals in the frequency domain, the at least two signals respectively measured at at least two different respective regions of the anatomical structure (1), or b3) a relationship between energies given for at least two different frequency ranges of at least one signal of the set of signals; c) determining (S3)

Abstract: A medical data processing method of determining a transformation for determining a breathing state-dependent geometry of an anatomical body part of a patient's body, the method comprising: a) acquiring planning image data describing a set of tomographic medical planning images describing each a different part of the anatomical body part in the same respiratory state called reference planning respiratory state, wherein the anatomical body part is subject to respiratory movement and wherein the planning images comprise a planning image called reference planning image describing a part of the anatomical body part which is called reference planning body part; b) acquiring breathing image data describing a set of tomographic medical breathing images of the anatomical body part, wherein the breathing images comprise a reference breathing image describing the reference planning body part in a respiratory state called reference breathing respiratory state, which is different from the reference planning respiratory st