Abstract: A rotary press includes upper and lower press punches, a die plate defining a plurality of cavities, a filling apparatus that dispenses powder material into the plurality cavities, and a pressing apparatus that presses the powder material in the plurality of cavities into pellets. A scraping apparatus scrapes pellets ejected from the die plate into a first pellet discharge and a sorting apparatus sorts the pellets into a second pellet discharge. The sorting apparatus includes a sorting drive including an electric motor with a magnet driven by a stator and a transmission element, and a sorting element driven by the sorting drive between a sorting position and a rest position. In the sorting position, the sorting element guides pellets into the second pellet discharge. The magnet translates a drive movement, via the transmission element, into a drive movement of the sorting element with a higher drive speed.

Abstract: Esophageal bolus transport and esophageal mechanics are quantified from medical imaging data, such as dynamic magnetic resonance imaging (“MRI”) data, computed tomography (“CT”) data, or the like. A machine learning model is used to process geometric or other spatiotemporal parameters of a bolus imaged with medical imaging in order to estimate quantitative parameters of the bolus and/or esophagus, such as cross-sectional area, fluid velocity, and fluid pressure. From these values, other parameters can be computed, such as esophageal stiffness and active relaxation.

Abstract: A radially actuated drum brake for a commercial vehicle has a brake drum, an anchor housing with bearing receptacles for brake linings, at least two brake linings, which are mounted in respective bearing receptacles in an accommodation space of the brake drum, each of the brake linings having a friction lining carrier, a friction lining arranged thereon, and a pressure piece, which is arranged on an underside of the lining carrier, the underside facing away from the friction lining, and protrudes radially in the direction of the rotational axis of the brake drum through an opening in the relevant bearing receptacle. An application device is arranged on a cylinder sleeve of the anchor housing and has at least one pressing part with which the brake linings can be pressed against an inner lateral face of the brake drum in an application direction radial to the rotational axis of the brake drum.

Abstract: A method for non-invasive assessment of vascular 4D hemodynamics includes receiving standard anatomic imaging data at a local network or cloud-based analysis platform and identifying a vessel of interest from the received anatomic imaging data. The method also includes deriving hemodynamic features from the vessel of interest from the received anatomic imaging data using deep learning by inputting the received anatomic imaging data into a deep learning network. The method further includes calculating 4D hemodynamic parameters and generating output data based on the hemodynamic features derived from the vessel of interest.

Abstract: A system and method for predicting cardiovascular function is presented. The method includes accessing physiological measurement data and patient data from a patient. The method also includes accessing a neural network trained to predict cardiovascular function data using the physiological measurement data and patient data.

Abstract: Described here are systems and methods for generating cardiac vibrational energy spectral (“VIBES”) heat maps from physical vibration data and cardiac cycle timing data measured from a subject. Quick screening for heart valve, cardiovascular, and/or cardiothoracic abnormalities can be provided based on an analysis and/or classification of the generated VIBES heat maps.

Abstract: Esophageal bolus transport and esophageal mechanics are quantified from medical imaging data, such as dynamic magnetic resonance imaging (“MRI”) data, computed tomography (“CT”) data, or the like. A machine learning model is used to process geometric or other spatiotemporal parameters of a bolus imaged with medical imaging in order to estimate quantitative parameters of the bolus and/or esophagus, such as cross-sectional area, fluid velocity, and fluid pressure. From these values, other parameters can be computed, such as esophageal stiffness and active relaxation.

Abstract: Described here are systems and methods for generating and analyzing co-expression signature data from scalar or multi-dimensional data fields contained in or otherwise derived from imaging data acquired with a medical imaging system. A similarity metric, such as an angular similarity metric, is computed between the data field components contained in pairs of voxels in the data field data. The data fields can be scalar fields, vector fields, tensor fields, or other higher-dimensional data fields. A probability distribution of these similarity metrics can be generated and used as co-expression signature data that indicate pairwise disparities in the data field data.

Abstract: Described here are systems and methods for generating quantitative flow mapping from medical flow data (e.g., medical images, patient-specific computational flow models, particle image velocimetry data, in vitro flow phantom) over a virtual volume representative of a catheter or other medical device. As such, quantitative flow mapping is provided with reduced computational burdens. Quantitative flow maps can also be generated and displayed in a manner that is similar to catheter-based or other medical device-based mapping, without requiring an interventional procedure to place the catheter or medical device.

Abstract: Described here are systems and methods for generating cardiac vibrational energy spectral (“VIBES”) heat maps from physical vibration data and cardiac cycle timing data measured from a subject. Quick screening for heart valve, cardiovascular, and/or cardiothoracic abnormalities can be provided based on an analysis and/or classification of the generated VIBES heat maps.

Abstract: Described here are systems and methods for generating and analyzing co-expression signature data from scalar or multi-dimensional data fields contained in or otherwise derived from imaging data acquired with a medical imaging system. A similarity metric, such as an angular similarity metric, is computed between the data field components contained in pairs of voxels in the data field data. The data fields can be scalar fields, vector fields, tensor fields, or other higher-dimensional data fields. A probability distribution of these similarity metrics can be generated and used as co-expression signature data that indicate pairwise disparities in the data field data.

Abstract: Described here are systems and methods for producing an image that depicts blood flow stasis using magnetic resonance imaging (MRI), Doppler echocardiography, or other medical instruments for measuring flow velocities in a human body. A time series of three-dimensional (3D) image volumes is provided, where this time series of 3D image volumes contains flow velocity information at voxel locations in a 3D volume in a subject. One or more regions-of-interest are then segmented from the 3D image volumes. For each voxel in the regions-of-interest, velocity magnitudes are calculated. Using the velocity magnitudes, a flow stasis volume is produced by computing a relative stasis value for each voxel location in the corresponding region-of-interest. This flow stasis volume can be provided as a 3D flow stasis image, or a flow stasis map can be produced by projecting the flow stasis volume onto a two-dimensional (2D) plane.

Abstract: A computer-implemented method for performing spatiotemporal background phase correction for phase contrast velocity encoded magnetic resonance imaging includes performing a phase contrast magnetic resonance imaging scan of a region of interest within a patient to yield a complex image and calculating a plurality of filter cut-off frequencies based on physiological limits associated with the patient. A spatiotemporal filter is created based on the plurality of filter cut-off frequencies. This spatiotemporal filter is applied to the complex image to yield a low-pass filtered complex image. Then, complex division is performed using the complex image and the low-pass filtered complex image to yield a corrected image.

Abstract: Described here are systems and methods for producing an image that depicts blood flow stasis using magnetic resonance imaging (MRI), Doppler echocardiography, or other medical instruments for measuring flow velocities in a human body. A time series of three-dimensional (3D) image volumes is provided, where this time series of 3D image volumes contains flow velocity information at voxel locations in a 3D volume in a subject. One or more regions-of-interest are then segmented from the 3D image volumes. For each voxel in the regions-of-interest, velocity magnitudes are calculated. Using the velocity magnitudes, a flow stasis volume is produced by computing a relative stasis value for each voxel location in the corresponding region-of-interest. This flow stasis volume can be provided as a 3D flow stasis image, or a flow stasis map can be produced by projecting the flow stasis volume onto a two-dimensional (2D) plane.

Abstract: A computer-implemented method for performing spatiotemporal background phase correction for phase contrast velocity encoded magnetic resonance imaging includes performing a phase contrast magnetic resonance imaging scan of a region of interest within a patient to yield a complex image and calculating a plurality of filter cut-off frequencies based on physiological limits associated with the patient. A spatiotemporal filter is created based on the plurality of filter cut-off frequencies. This spatiotemporal filter is applied to the complex image to yield a low-pass filtered complex image. Then, complex division is performed using the complex image and the low-pass filtered complex image to yield a corrected image.

Abstract: A method for operating a Magnetic Resonance (MR) imaging system includes generating radio frequency (RF) excitation pulses in patient anatomy to provide subsequent acquisition of associated RF echo data and generating slice select magnetic field gradients for phase encoding and readout RF data acquisition in the patient anatomy. The method also includes acquiring a plurality of slices of an image within a plurality of cycles, each of the plurality of slices being acquired within each of the plurality of cycles and causing, by a control processor, a RF signal generator and a gradient generator to change an order that each of the plurality of slices is acquired between consecutive cycles of the plurality of cycles.

Abstract: Disclosed herein is a framework for facilitating waveform parameter estimation. In accordance with one aspect, time-based waveforms are generated based on analysis planes positioned along a centerline of the vessel. A surface may be fitted to upslope regions of the waveforms to determine one or more waveform parameters based on intersection of the surface with the upslope regions.

Abstract: Disclosed herein is a framework for facilitating waveform parameter estimation. In accordance with one aspect, time-based waveforms are generated based on analysis planes positioned along a centerline of the vessel. A surface may be fitted to upslope regions of the waveforms to determine one or more waveform parameters based on intersection of the surface with the upslope regions.

Abstract: A method for operating a Magnetic Resonance (MR) imaging system includes generating radio frequency (RF) excitation pulses in patient anatomy to provide subsequent acquisition of associated RF echo data and generating slice select magnetic field gradients for phase encoding and readout RF data acquisition in the patient anatomy. The method also includes acquiring a plurality of slices of an image within a plurality of cycles, each of the plurality of slices being acquired within each of the plurality of cycles and causing, by a control processor, a RF signal generator and a gradient generator to change an order that each of the plurality of slices is acquired between consecutive cycles of the plurality of cycles.

Abstract: A filtering plant for removing dusts from gases, with a plurality of filter units, which are parallel connected to a line for crude gas and the outlets thereof are parallel connected to a line for purified gas, wherein an extraction blowing engine is connected to the line for purified gas, further with an apparatus for cleaning the filter units, which has a lower collecting space for the filter cake with a discharge opening with flap on the lower end of the collecting space, characterized in that the dust discharge openings of all the filter units except one are connected to a common collecting main and the collecting main is connected to the crude gas region of the one filter unit.