Abstract: The application describes various embodiments of a medical system, a computer program, and a method related to sequential transmission of compressed medical image data. As an example, a medical system comprising a local memory storing local machine executable instructions and a local computational system. Execution of the machine executable instructions further causes the computational system to: receive a feature vector descriptive of medical image data, wherein the feature vector is configured to be input into a decoder neural network, wherein the decoder neural network is configured to output an approximation of the medical image data when receiving at least a part of the feature vector as input, wherein the feature vector comprises a ranking assigning an importance to elements of the feature vector; and sequentially transmit portions of the feature vector to a remote computational system via a network connection, wherein the portions of the features vector with a higher importance are transmitted first.

Abstract: The present invention relates to the technical field of the marking of articles by means of optically readable codes and of decoding the codes. Such a code is introduced into a surface of an article. The code is decoded on the basis of a transformed captured image of the code. The transformed captured image is generated from at least one captured image of the code using a machine learning model. The model is trained to generate a transformed captured image from at least one captured image and the readout of the optically readable code leads to less decoding errors than the readout of the code in the at least one captured image. The present invention relates to a method for training the machine learning model and to a method, a system and a computer program product for decoding a code using the trained machine learning model.

Abstract: The present invention relates to vibration correction. A vibration artifact suppression method (100) is provided that comprises the following steps: a) reconstructing (110) a three-dimensional image of an object of interest based on projection data acquired with an X-ray imaging system, b) determining (120) whether the reconstructed three-dimensional image contains a metal object, and c) performing one of the following steps based on a result of the determination: c1) in response to determining that the reconstructed three-dimensional image contains a metal object, performing (130) a vibration correction method based on the metal object segmented in the reconstructed three-dimensional image; or c2) in response to determining that the reconstructed three-dimensional image contains no metal object, performing (140) a vibration correction method based on the object of interest segmented in the reconstructed three-dimensional image.

Abstract: The present invention relates to the technical field of the marking of articles by means of optically readable codes and of decoding the codes. Such a code is introduced into a surface of an article. The code is decoded on the basis of a transformed captured image of the code. The transformed captured image is generated from at least one captured image of the code using a machine learning model. The model is trained to generate a transformed captured image from at least one captured image and the readout of the optically readable code leads to less decoding errors than the readout of the code in the at least one captured image. The present invention relates to a method for training the machine learning model and to a method, a system and a computer program product for decoding a code using the trained machine learning model.

Abstract: A tracking system for tracking a marker device for being attached to a medical device is provided, whereby the marker device includes a sensing unit comprising a magnetic object which may be excited by an external magnetic or electromagnetic excitation field into a mechanical oscillation of the magnetic object, and the tracking system comprises a field generator for generating a predetermined magnetic or electromagnetic excitation field for inducing mechanical oscillations of the magnetic object, a transducer for transducing a magnetic or electromagnetic field generated by the induced mechanical oscillations of the magnetic object into one or more electrical response signals, and a position determination unit for determining the position of the marker device on the basis of the one or more electrical response signals.

Abstract: A computer-implemented system for automatically generating patient-specific medical reports includes a data collection module configured to obtain patient-specific information, including patient-specific diagnostic information and communication-related patient-specific meta information. The system further includes an artificial intelligence (AI) module configured to process the obtained patient-specific information to generate a patient-specific report in a format tailored to the patient's language, education, and expectation level, wherein the AI module includes a pre-trained language model trained using medical terms, texts, reports, and related images for different age, language, and educational level groups. The system further includes an output module configured to output the generated report.

Abstract: A tracking system for tracking a marker device for being attached to a medical device is provided, whereby the marker device includes a sensing unit comprising a magnetic object which may be excited by an external magnetic or electromagnetic excitation field into a mechanical oscillation of the magnetic object, and the tracking system comprises a field generator for generating a predetermined magnetic or electromagnetic excitation field for inducing mechanical oscillations of the magnetic object, a transducer for transducing a magnetic or electromagnetic field generated by the induced mechanical oscillations of the magnetic object into one or more electrical response signals, and a position determination unit for determining the position of the marker device on the basis of the one or more electrical response signals.

Abstract: The present invention relates to the technical field of the marking of articles by means of optically readable codes and of reading out the codes. The invention relates to a method, a system and a computer program product for detecting and interpreting optically readable codes that are introduced into the surfaces of articles.

Abstract: A system (SYS) for supporting a medical procedure, comprising an interface (IN) for receiving at least one medical input signal that describes a state of a target anatomy. A signal analyzer (SA) is configured to analyze the medical input signal to determine a time window for deployment of a cardio-vascular device (CL) to be deployed by a deployment.

Abstract: The present invention relates to the technical field of the marking of articles by means of optically readable codes and of reading out the codes. The invention relates to a method, a system and a computer program product for detecting and interpreting optically readable codes that are introduced into the surfaces of articles.

Abstract: System (S-SYS) and related method for determining a material density map for a target material. The system (S-SYS) may receive spectral data representable in a two-dimensional data space. The spectral data may include measurements acquired by a spectral imaging apparatus of an object in a three-dimensional image domain of the spectral imaging apparatus. The system determines clusters in the data space, one indicative of the target material, the target material cluster, and clusters indicative auxiliary materials, the auxiliary material clusters. The system may determine a mutual geometrical constellation of the clusters. The system determines the material density map based on the geometrical constellation so determined.

Abstract: All X-ray computerized tomography systems that are available or proposed base their reconstructions on measurements that integrate over energy. X-ray tubes produce a broad spectrum of photon energies and a great deal of information can be derived by measuring changes in the transmitted spectrum. We show that for any material, complete energy spectral information may be summarized by a few constants which are independent of energy. A technique is presented which uses simple, low-resolution, energy spectrum measurements and conventional computerized tomography techniques to calculate these constants at every point within a cross-section of an object. For comparable accuracy, patient dose is shown to be approximately the same as that produced by conventional systems. Possible uses of energy spectral information for diagnosis are presented.

Abstract: A method and apparatus for analyzing diagnostic image data are provided in which a plurality of acquisition images of a vessel of interest having been acquired with a pre-defined acquisition method is received at a trained classifying device and classified, by the classifying device, to extract at least one quantitative feature of the vessel of interest from at least one acquisition image of the plurality of acquisition images. The at least one quantitative feature is then output associated with the at least one acquisition image while the acquisition of the diagnostic image data is still in progress and one or more adjustable image acquisition settings are adjusted based on the at least one quantitative feature to optimize the acquisition of the diagnostic image data.

Abstract: An image processing system (IPS), comprising an input interface (IN) for receiving a projection image from a plurality of projection images of a movable object (PAT) acquired along different directions by an imaging apparatus (XA), the projection images defined in a projection domain spanned by a radiation sensitive surface of the detector (D). The system includes a motion checker (MC) configured to operate in the projection domain to decide whether the projection image is corrupted by motion of the object during acquisition.

Abstract: The present invention relates to a device (1) for providing image data during an extraction procedure for extracting a lead from the body of a subject using an extraction device (7). The device comprises an input (2) for receiving live x-ray projection image data of the lead during the extraction procedure and for receiving three-dimensional image data as acquired before the extraction procedure. A processing unit (3) determines a position of the extraction device (7) in the three-dimensional image data by detecting the position in the live projection image data during the procedure and correlates this position in the live projection image data with the position in the three-dimensional image data. An output (4) generates an image of a cross-sectional view of the lead and/or its surrounding body structure at the determined position based on the three-dimensional image data.

Abstract: The present invention relates to a computer-implemented method for generating a simulated CBCT image based on a computed tomography image. A computed tomography image is converted into attenuation coefficients of the represented tissue, and the computed tomography image is forward-projected to a projection image based on scanner parameters of a simulated CBCT scanner. After the addition of artificial noise to the projection image representing noise detected by the simulated CBCT scanner, the projection image is back-projected with a reconstruction algorithm for the generation of a simulated CBCT image of the subject. The present invention relates further to a method for generating training data for training an artificial intelligence module based on the simulated images, and to methods for registering a computed tomography image to a CBCT image and for segmenting a CBCT image with an artificial intelligence module trained with training data comprising the simulated CBCT images.

Abstract: The application describes various embodiments of a medical system, a computer program, and a method related to sequential transmission of compressed medical image data. As an example, a medical system comprising a local memory storing local machine executable instructions and a local computational system. Execution of the machine executable instructions further causes the computational system to: receive a feature vector descriptive of medical image data, wherein the feature vector is configured to be input into a decoder neural network, wherein the decoder neural network is configured to output an approximation of the medical image data when receiving at least a part of the feature vector as input, wherein the feature vector comprises a ranking assigning an importance to elements of the feature vector; and sequentially transmit portions of the feature vector to a remote computational system via a network connection, wherein the portions of the features vector with a higher importance are transmitted first.

Abstract: An apparatus for image reconstruction that includes input circuitry configured to acquire, from an image sequence, first and second 2D projection data of a region of interest of an object at respective acquisition times; and provide first 3D object data of a first object in a region of interest and second 3D object data of a second object in a region of interest. The apparatus also includes a processor configured to generate a first registration of the first and/or second 3D object data to the first 2D projection data and a second registration of the first and/or second 3D object data to the second 2D projection data; provide a vector field defining motion of the second object relative to the first object between the acquisition times based on the registrations; generate corrected projection data using the vector field; and generate a motion-compensated image sequence based on the corrected projection data.

Abstract: A mechanism for generating a mapping function for mapping measurements taken at an electrode within crossing electric fields to a position or positions within a multidimensional co-ordinate system. The values for coefficients of the mapping function are generated using a first machine-learning algorithm, which receives, as input, example measurements (or responses) of the electrode and provides, as output, values for the coefficients for the mapping function. There is proposed a method and processing system for carrying out this mechanism.

Abstract: An image processing system (IPS) and related method. The system (IPS) comprises an input interface (IN) for receiving an image (IM) of an object (OB) acquired by an imaging apparatus (IA). A kernel provider (KP) of the system (IPS) is configured to provide respective scatter kernels for at least two scatter types. A scatter correction module (SCM) of the system (IPS) is configured to perform a correction in the image based on the provided at least two kernels.