Abstract: The present invention relates to subtraction imaging. In order provide further improved accuracy of masking images, a device (10) for digital subtraction imaging is provided comprising an image data input (12), a data processor (14) and an output interface (16). 3D image data (22) of a region of interest of an object is received that comprises a 3D representation of the object based on a reconstruction from a plurality of 2D projection images. Further, a 2D live X-ray image (24) of the region of interest is received. The 3D image data and the 2D live X-ray image are registered, wherein a matching pose of the 3D image data corresponding to the 2D live X-ray image is determined. A digitally reconstructed radiography is computed from the 3D image data based on the determined matching pose to generate a 2D mask image.

Abstract: The present invention is related to a compound comprising a cyclic peptide of formula (I) and an N-terminal modification group A attached to Xaa1, wherein Xaa1, Xaa2, Xaa3, Xaa4, Xaa5 and Xaa6 are each residues of an amino acid, Xaa7 is a residue of an amino thiol or an amino acid of formula, Yc is a cyclization element which is either present or absent, and the N-terminal modification group A is either a blocking group Abl or an amino acid Aaa.

Abstract: A film composite folded from a single film to form a plurality of layered film layers (1) and comprising microfluidic structures (5) in different planes, wherein the microfluidic structures are formed by film layers having embossed recesses covered by the respective film layer adjacent in the layering direction, and wherein microfluidic structures of one plane are connected to microfluidic structures of another plane via through-holes in at least one film layer; a method for producing the film composite; and the use of the film composite.

Abstract: An iterative method is for determining training data for a primary model to solve a primary recognition task. The iterative method includes a) providing at least one labeled training sample, b) training the primary model with the at least one labeled training sample, c) providing at least one labeled test sample, and d) evaluating a recognition performance of the primary model using the labeled test sample on the primary recognition task. The iterative method further includes, depending on a result of the evaluating the recognition performance, either (i) re-performing parts a), b), c), and d) of the iterative method, or (ii) ending the iterative method.

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 method for use in image reconstruction of CT projection data, which aims at reducing motion artefacts in reconstructed images caused by movement of anatomical bodies. Embodiments are based on mitigating motion artefacts based on restricting the range of data that is used for reconstructing each slice. More particularly, a sub-range of the projection data corresponding to each slice is selected, this sub-range being chosen based on determining one or more sub-windows of visibility of a target anatomical object or event within the projection data sequence. The event may be a particular phase of a movement cycle of the anatomical body. The structure could be a particular portion of the anatomical body which is of interest. Either approach leads to reduction of motion artefacts within a single slice, by restricting the data range, and focusing upon the data which is most relevant clinically.

Abstract: An apparatus for assessing a hemodynamic property in a coronary vasculature and a corresponding method are provided in which diagnostic data of a vessel of interest is used to identify a first and second measurement position at which a first and a second value for a first hemodynamic property may be obtained whereby these first and second values are suitable to derive at least one diagnostic parameter indicative of a second hemodynamic 5 property that cannot or should not be measured directly.

Abstract: An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface (40) and a processing unit (50). The input interface is configured to obtain image data (30) representing a two-dimensional representation of a vessel (6). The processing unit (50) is configured to determine a course of the vessel (6) and a width (w1, w2) of the vessel along its course in the image data and is further configured to determine the functional index for stenosis assessment of the vessel based on the width of the vessel in the image data.

Abstract: A spectral X-ray imaging system (100) includes an X-ray source (110) and an X-ray detector (120) that are mounted to a support structure (150). The support structure (150) is configured to rotate the X-ray source (110) and the X-ray detector (120) around two or more orthogonal axes (A-A?, B-B?). One or more processors (130) are configured to cause the system (100) to perform operations that include: generating a spectral image based on the spectral image data; and identifying, in the spectral image, a position of a first fiducial marker (180i) comprising a first material, based on a first X-ray absorption k-edge energy value (190i) of the first material.

Abstract: An apparatus for assessing a patient's vasculature and a corresponding method are provided, in which the bifurcations in a vessel of interest are identified on the basis of a local change in at least one geometric parameter value of the vessel of interest and the fluid dynamics inside the vessel of interest are adjusted to take account for said bifurcations.

Abstract: The present invention is related to a compound comprising a cyclic peptide of formula (I) and an N-terminal modification group A attached to Xaa1, wherein each and any one of Xaa1, Xaa2, Xaa3, Xaa4, Xaa5, Xaa6 and Xaa7 is a residue of an amino acid, and Yc is a structure of formula (X)

Abstract: An apparatus for determining a functional index for stenosis assessment of a vessel is provided. The apparatus comprises an input interface (40) and a processing unit (50). The input interface is configured to obtain image data (30) representing a two-dimensional representation of a vessel (6). The processing unit (50) is configured to determine a course of the vessel (6) and a width (w1, w2) of the vessel along its course in the image data and is further configured to determine the functional index for stenosis assessment of the vessel based on the width of the vessel in the image data.

Abstract: An apparatus for analyzing coronary vessels and a corresponding method are provided in which simulated pullback data obtained from (non-invasively) acquired diagnostic images is co-registered with invasively acquired intravascular pullback data and the co-registration is used to identify disparities in the pullback data obtained using the two modalities. These disparities allow for deriving further information about the vessel geometry and/or the blood flow through the vessel. They may therefore be used to improve the physiological model.

Abstract: An apparatus for assessing a patient's vasculature and a corresponding method identify the bifurcations in a vessel of interest on the basis of a local change in at least one geometric parameter value of the vessel of interest and adjust the fluid dynamics inside the vessel of interest to take account for said bifurcations.

Abstract: The present invention relates to matching a field of view for mobile 3D imaging, for example mobile C-arm 3D imaging In order to provide image data that is improved for comparing purposes, for example when using a mobile X-ray imaging system, first location information of a first reconstruction volume based on a first sequence of X-ray images of a region of interest of a subject acquired along a first trajectory in a first position of an X-ray imaging device is received. Further, a planned second trajectory for acquiring a second sequence of X-ray images in a second position of the X-ray imaging device is received and a resulting second reconstruction volume for the second sequence of X-ray images is calculated. Then, second location information for the second reconstruction volume is determined. Further, a degree of comparability for the first reconstruction volume and the second reconstruction volume is determined based on the first location information and the second location information.

Abstract: The invention relates to a blood flow determination apparatus (5) comprising a speckle density determination unit (7) for determining a speckle density value being indicative of a level of a speckle density in an ultrasound image of an inner lumen of a blood vessel, which has been generated at an imaging location being behind an introduction location at which a fluid has been introduced into the blood vessel (20) with a known volumetric fluid flow rate. A blood flow rate determination unit (8) determines a blood flow value being indicative of a volumetric blood flow rate based on the determined speckle density value and the volumetric fluid flow rate. This allows determining the intravascular blood flow with an improved accuracy.

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: The present invention is related to a compound comprising a cyclic peptide of formula (I) and an N-terminal modification group A attached to Xaa1, wherein each and any one of Xaa1, Xaa2, Xaa3, Xaa4, Xaa5, Xaa6 and Xaa7 is a residue of an amino acid, and Yc is a structure of formula (X)

Abstract: An artificial neural network (ANN), including processing layers which are each configured to process input quantities in accordance with trainable parameters of the ANN to form output quantities. At least one normalizer is inserted into at least one processing layer and/or between at least two processing layers. The normalizer includes a transformation element configured to transform input quantities directed into the normalizer into one or more input vectors, using a predefined transformation. The normalizer also includes a normalizing element configured to normalize the input vector(s) using a normalization function, to form one or more output vectors. The normalization function has at least two different regimes and changes between the regimes as a function of a norm of the input vector at a point and/or in a range, whose position is a function of a predefined parameter. The normalizer also includes an inverse transformation element.

Abstract: The invention relates to a blood flow determination apparatus (5) comprising a speckle density determination unit (7) for determining a speckle density value being indicative of a level of a speckle density in an ultrasound image of an inner lumen of a blood vessel, which has been generated at an imaging location being behind an introduction location at which a fluid has been introduced into the blood vessel (20) with a known volumetric fluid flow rate. A blood flow rate determination unit (8) determines a blood flow value being indicative of a volumetric blood flow rate based on the determined speckle density value and the volumetric fluid flow rate. This allows determining the intravascular blood flow with an improved accuracy.