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: Disclosed herein is a medical system (100, 300, 400) comprising a memory (110) storing a trainable machine learning module (122) trained using training data descriptive of a training data distribution (600) to output a reconstructed medical image (136) in response to receiving measured medical image data (128) as input. The medical system comprises a computational system (104). The execution of machine executable instructions (120) causes the computational system to: receive (200) the measured medical image data and determine (202) the out-of-distribution score and the in-distribution accuracy score consecutively in an order determined a sequence, detect (204) a rejection of the measured medical image data using the out-of-distribution score and/or the in-distribution accuracy score during execution of the sequence, provide (206) a warning signal (134) if the rejection of the measured medical image data is detected.

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: The present invention relates to a system and a method for automatic verification of a positioning of a medical device with respect to an anatomy of a patient in a medical image. A position of a plurality of reference points in a medical image is detected. Further, a presence and a position of a medical device in the medical image is detected. An expected position of the medical device is determined based on the position of the plurality of reference points, and a measure of a correctness of the positioning of the medical device is provided based on a proximity of the position of the medical device to the expected position of the medical device. The measure of the correctness of the positioning of the medical device is provided.

Abstract: An ultrasound system is disclosed comprising an ultrasound transducer array (100) comprising a plurality of ultrasound transducer cells (130), each of said cell having an independently adjustable position and/or orientation such as to conform an ultrasound transmitting surface of the cell to a region of a body and a controller (140). The controller is configured to register the respective ultrasound transducer cells by simultaneously operating at least two ultrasound transducer cells in a transmit mode in which the cells transmit distinguishable ultrasound signals and operating the remaining ultrasound transducer cells in a receive mode.

Abstract: The invention refers to a system for providing a spectral image using a conventional CT system. The system comprises a data providing unit (11) for providing first projection data and second projection data, wherein the first and second projection data have been acquired using different acquisition spectra, wherein the first projection data has been acquired during a scout scan and the second projection data has been acquired during a diagnostic scan, or wherein the first and second projection data have been acquired by a first and second part of the detector, respectively. The first and second part of the detector acquire projection data with different acquisition spectra. A spectral image generation unit (12) generates a spectral image based on the projection data. With this system a spectral image can be provided using a conventional CT system with a decreased acquisition time.

Abstract: System and related methods for de-noising 3D imagery. The system (IPS) comprises a pre-trained discriminative neural network (NN). The network includes a sequence of 3D convolutional operators (CV) for processing a received 3D image volume into a 3D output image. The 3D output image has a lower noise level than the 3D input image.

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: A system (SY) for determining a relative importance of each of a plurality of image features (Fn) of a vascular medical image impacting an overall diagnostic metric computed for the image from an automatically-generated diagnostic rule. A medical kin image database (MIDB) includes a plurality of vascular medical images (M1 . . . k). A rule generating unit (RGU) analyzes the plurality of C vascular medical images and automatically generates at least one diagnostic rule corresponding to a common diagnosis of a subset of the plurality of vascular medical images based on a plurality of image features common to the subset of vascular medical images. An image providing unit (IPU) provides a current vascular medical image (CVMI) including the plurality of image features. A diagnostic metric computation unit (DMCU) computes an overall diagnostic metric for the current vascular medical image by applying the at least one automatically-generated diagnostic rule to the current vascular medical image.

Abstract: The present invention relates to an X-ray imaging system (10), comprising an X-ray image acquisition unit (20); and a processing unit (30). The X-ray image acquisition unit is configured to operate in at least one scout scan mode of operation. The X-ray image acquisition unit is configured to operate in a plurality of diagnostic image acquisition modes of operation. The X-ray image acquisition unit is configured to operate in a specific scout scan mode of operation of the at least one scout scan mode of operation to acquire a scanogram of a body part of a patient. The X-ray image acquisition unit is configured to provide the scanogram to the processing unit.

Abstract: A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126) and an electrocardiogram signal analyzer (128). The computing system further includes a processor (120) configured to execute the electrocardiogram signal analyzer determine myocardial infarction characteristics from an input electrocardiogram and to execute the biophysical simulator to simulate a fractional flow reserve or an instant wave-free ratio index from input cardiac image data and the determined myocardial infarction characteristics.

Abstract: Data processing systems (DPS) and related methods for nuclear medicine imaging. At an input interface (IN), first projection data (?), or a first image (V) reconstructable from the first projection data, is received. The first projection data is associated with a first waiting period (?T*). The first waiting period indicates the time period from administration of a tracer agent to a start of acquisition by a nuclear medicine imaging apparatus (IA) of the projection date. A trained machine learning module (MLM) estimates, based on the first projection data (?) or on the first image (V), a second projection data (??) or a second image (V?) associable with a second waiting period (?T), longer than the first waiting period (?T*). Nuclear imaging can thus be conducted quicker. Similar machine learning based data processing systems and related methods are also envisaged to reduce acquisition time periods or the time it takes to reconstruct imagery.

Abstract: The invention provides a process for regenerating a catalyst used for the ring hydrogenation of an aromatic species, especially an aromatic ester, wherein a gas stream containing a particular amount of oxygen is used for the regeneration.

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: Techniques are disclosed relating to provisioning fault domain sets (FDS). In some embodiments, a computer server system implements an FDS for disseminating a storage service across a plurality of fault domains. To implement the FDS, in some embodiments, the computer server system access FDS data specifying a desired state of the FDS in which the storage service is disseminated across at least a particular number of fault domains. The computer server system may determine available resources of the plurality of fault domains and determine a current state of the FDS based on fault domains that have already been provisioned to the FDS. Based on at least the desired state of the FDS, the current state of the FDS, and the available resources, the computer server system provisions one or more additional fault domains to the FDS to reconcile the FDS's current state with the FDS's desired state.

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: An imaging system (IS), comprising an image acquisition unit (AQ) for acquisition of image data (I1) of an object (OB). The image acquisition is based on an imaging signal imitable by the unit (AQ) to interact with the object. The image acquisition unit (AQ) is adjustable to operate at different acquisition parameters that determine a property of the imaging signal. A predictor component (PC) predicts, based at least on the acquired image data (I1), one or more properties of the object. An acquisition parameter adjuster (PA) adjusts, based on the predicted object properties, the acquisition parameter at which the image acquisition unit (AQ) is to acquire follow-up image data (I2).

Abstract: The invention relates to triesters of cyclohexanetripropionic acid, preparation thereof and use thereof as plasticizers for polymers wherein examples of the triester of cyclohexanetripropionic acid include tri(nbutyl) cyclohexane-1,2,4-tripropionate, tri(methylpropyl) cyclohexane-1,2,4-tripropionate, tri(npentyl) cyclohexane-1,2,4-tripropionate, tri(isopentyl) cyclohexane-1,2,4-tripropionate, tri(2-methylbutyl) cyclohexane-1,2,4-tripropionate, tri(3-methylbutyl) cyclohexane-1,2,4-tripropionate, tri(nhexyl) cyclohexane-1,2,4-tripropionate, tri(isohexyl) cyclohexane-1,2,4-tripropionate, tri(nheptyl) cyclohexane-1,2,4-tripropionate, tri(isoheptyl) cyclohexane-1,2,4-tripropionate, tri(noctyl) cyclohexane-1,2,4-tripropionate, tri(isooctyl) cyclohexane-1,2,4-tripropionate, tri(2-ethylhexyl) cyclohexane-1,2,4-tripropionate, tri(nnonyl) cyclohexane-1,2,4-tripropionate, tri(isononyl) cyclohexane-1,2,4-tripropionate, tri(ndecyl) cyclohexane-1,2,4-tripropionate, tri(isodecyl) cyclohexane-1,2,4-tripropionate, and tri(2-p

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.