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 mechanism for generating a partially denoised image. A residual noise image, obtained by processing an image using a convolutional neural network, is weighted. The blending or combination of the weighted residual noise image and the (original) image generates the partially denoised image.

Abstract: A medical system (100) comprising a local memory (138) storing local machine executable instructions (140) and pulse sequence commands (142), a magnetic resonance imaging system (103), and a local computational system (132). The execution of the local machine executable instructions causes the local computational system to transmit (200) metadata descriptive of the magnetic resonance imaging protocol to a remote computational system (132?) via a network connection (137). The execution of the local machine executable instructions causes the computational system to repeatedly: control (202) the magnetic resonance imaging system with the pulse sequence commands to acquire one (146) of the series of discrete k-space acquisitions; construct (204) a compressed k-space acquisition (148) by compressing the one of the series of k-space acquisitions using a compression module; and transmit (206) the compressed k-space acquisition to the remote computational system via the network connection.

Abstract: A method and system are provided for planning a medical intervention, such as a coronary intervention. At least one image is retrieved, where the image includes at least a portion of a coronary artery. Based on the at least one image, a position and composition of plaque in the coronary artery are determined. A mechanical model of the portion of the coronary artery and the plaque in the coronary artery is generated, and a plurality of potential interventions is simulated in the context of the mechanical model. Following such simulations, an intervention for implementation is selected from the plurality of potential interventions.

Abstract: Whether to deploy a cerebral embolic protection (CEP) device is determined by initially retrieving one or more image of at least part of an aorta. The image includes an aortic valve. The image is segmented to identify the aortic valve, an aortic arch, and a plurality of branching blood vessels downstream of the aortic valve. Plaque in a segment of the image at or adjacent the aortic valve is identified, and a vulnerability score associated with the plaque is generated. Dynamics of blood flow in the aortic arch and at least one of the plurality of branching blood vessels is evaluated. It is then determined whether a CEP device should be deployed at least partially based on the vulnerability score. A CEP device is selected at least partially based on the dynamics of blood flow in the aortic arch.

Abstract: A computer-implemented method of providing plaque data (110) for a plaque deposit (120) in a vessel (130), is provided. The method includes: receiving (S110) computed tomography, CT, data (140) representing the vessel (130); generating (S120), from the CT data (140), a cross-sectional representation (150) of the vessel (130) at each of a plurality of positions (A-A?, B-B?) along the vessel; extracting (S130), from the cross-sectional representations, plaque data (110) comprising at least one measurement of the plaque deposit (120) at the plurality of positions along the vessel; and outputting (S140) a graphical representation of the plaque data (110).

Abstract: A system (200) for providing guidance information for an implantable device extraction procedure, is provided. The system includes one or more processors (210) configured to: receive (S110) attenuation data (110) representing an implantable device (120) in an anatomical region, the attenuation data defining X-ray attenuation within the anatomical region; analyze (S120) the attenuation data (110) to determine an amount of adhesion (130) between the implantable device (120) and a tissue (140) contacting the implantable device; and output (S130) guidance information for the implantable device extraction procedure based on the amount of adhesion (130).

Abstract: An electrochemical process produces tetraalkyl 1,2,3,4-butanetetracarboxylates having alkyl groups with 1 to 6 carbon atoms. The process employs an electrohydrodimerization of dialkyl maleates having alkyl groups having 1 to 6 carbon atoms in a reactant solution with an alcohol and a conducting salt.

Abstract: Images are processed while remaining agnostic as to an image source. An input image to be processed is retrieved. A first value or set of values for an image metric associated with the input image is determined, and a first filter is generated based on a relationship between the first value or set of values and a target value or set of values. The first filter is then applied to the input image to generate a working image having a second value or set of values for the image metric substantially similar to the target value or set of values for the image metric. The working image is processed using a standardized image processing methodology. An output is generated, which may be an image, based on the processed working image and outputs the output.

Abstract: A plasticizer composition contains a compound of the formula (1) and at least one trialkyl trimellitate, where the three alkyl groups in the trialkyl trimellitate each have 8 or 9 carbon atoms.

Abstract: A plasticizer composition contains a compound of the formula (1) and at least one dialkyl terephthalate, where the two alkyl groups in the dialkyl terephthalate each have 8 or 9 carbon atoms.

Abstract: A process for ring hydrogenation of dialkyl terephthalates having C3- to C16-alkyl groups can be performed in a hydrogenation unit composed of two reaction units in series. In the process, a suitable process parameter in relation to the first reaction unit is adjusted so that a certain reaction conversion is achieved.

Abstract: Systems and methods for training a machine-learning model for artifact reduction are provided. Such methods include retrieving a three-dimensional digital phantom reconstructed from CT imaging data. The method then selects a first Z position along the central axis and simulates a first set of forward projections from the digital phantom taken along an axial trajectory at the first Z position along the central axis. The first set of forward projections has a first simulated collimation in the axial direction. The method then reconstructs a first simulated image from the first set of forward projections and identifies a plurality of secondary Z positions along the central axis other than the first Z position. For each of the secondary Z positions and the first Z position itself, the method then simulates a set of secondary forward projections from the digital phantom taken along corresponding axial trajectories at the corresponding secondary Z position.

Abstract: System (SYS) and related method for image processing, comprising an input interface (IN) to receive input data comprising i) spectral projection imagery of a region of interest including a conduit (CN) for passage of a liquid (CA), the spectral projection imagery obtainable in an imaging procedure by a spectral X-ray imagining apparatus (IA1) with contrast agent (CA) present in the liquid, and ii) additional image data acquirable by a further imaging apparatus (IA2) of the non-ionizing type, the said additional image data representative of 3D information of the conduit. A predictor component (PC) predicts based on the spectral projection imagery and the additional image data, a concentration of contrast agent in the said conduit.

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 method of determining a value of a blood flow parameter for a vessel, is provided. The method includes: calculating from spectral attenuation data, and using a plurality of different techniques, a value of a blood flow parameter for the vessel; and providing the value of the blood flow parameter for the vessel based on the calculated values of the blood flow parameter.

Abstract: Systems, apparatuses and methods provide technology to automatically evaluate diagnostic images, including receiving a diagnostic image relating to a condition of a patient, performing a registration of the diagnostic image with reference to an anatomical structure, identifying one or more ROIs from the registered image, generating a feature distribution based on the one or more ROIs, analyzing the feature distribution to determine a quantification, the quantification reflecting the condition of the patient, and providing a diagnostic output based on the quantification. In embodiments, identifying a ROI includes identifying a field of interest in the registered image, the field of interest encompassing the one or more regions of interest, and dividing the field of interest into a plurality of sub-regions. In embodiments, generating a feature distribution includes generating an intensity histogram for each ROI.

Abstract: Systems and methods for transforming three-dimensional computed tomography (CT) data into two dimensional images are provided. Such a method is provided including retrieving three-dimensional CT imaging data, where the three-dimensional CT imaging data comprises projection data acquired from a plurality of angles about a central axis. Once the three-dimensional CT imaging data is retrieved, the imaging data is processed as a three-dimensional image and the method proceeds to generate a two-dimensional image by tracing rays from a simulated radiation source outside of the three-dimensional image. The two-dimensional image is then presented to a user as a simulated X-Ray.

Abstract: A computer-implemented method of measuring a blood flow parameter in a vasculature, is provided. The method includes: analyzing spectral CT projection data to isolate from the spectral CT projection data, contrast agent projection data representing the flow of the injected contrast agent; sampling the contrast agent projection data at one or more regions of interest in the vasculature to provide temporal blood flow data at the one or more regions of interest; and calculating, from the temporal blood flow data, a value of one or more blood flow parameters at the one or more regions of interest.

Abstract: A computer-implemented method of compensating for differences in medical images, is provided. The method includes receiving (S110) image data comprising a temporal series of medical images (1101. . .i). The temporal series includes one or more medical images generated by a first type of imaging modality (120), and one or more medical images generated by a second type of imaging modality (130, 130?). The first type of imaging modality is different to the second type of imaging modality. In one aspect, the method includes generating (S120a. S120b), from the temporal series of medical images (1101. .i), a normalised temporal series of medical images (1401. .i), and outputting (S130a. S130a?. S130b) the normalised temporal series of medical images (1401. . i) and/or one or more measurement values derived therefrom. In another aspect, the method includes generating (S120a. S120b), from the temporal series of medical images (1101 . .i), one or more normalised measurement values (1501. . .