A system and method for generating a parametric map of a subject's brain includes receiving non-contrast computed tomography (NCCT) imaging data and receiving computed tomography perfusion (CTP) data. The method further includes creating a baseline image by utilizing the NCCT data and generating a parametric map using the CTP data and the baseline image.

Various methods and systems are provided for a power supply system. In one example, a method and system includes a power distribution unit (PDU) configured to receive power from a main power source and an uninterruptible power supply (UPS). The UPS includes a timer and the UPS is configured to directly power an output alternating current (AC) load after the main power source in unavailable. The UPS is also configured to power an output high voltage direct current (HVDC) load after the main power source is unavailable for a time delay measured by the timer.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

A system and method is provided for performing material decomposition using a computed tomography (CT) system. The method includes acquiring CT imaging data of an object including data subsets corresponding to at least two different energy spectral bins and using the CT imaging data at each of the at least two different energy spectral bins to form a series of equations for basis material decomposition. The method also includes using a general physical constraint, which quantifies how each basis material in the object is mixed together to form the object, within the series of equations. The method also includes determining at least one basis material density of the object using the physical constraint and the CT imaging data and generating an image of the object using the CT imaging data and the mass densities of at least one basis material.

A computer-implemented method for autonomous segmentation of contrast-filled coronary artery vessels, the method comprising the following steps: receiving (101) an x-ray angiography scan representing a maximum intensity projection of a region of anatomy that includes the coronary vessels on the imaging plane; preprocessing (102) the scan to output a preprocessed scan; and performing autonomous coronary vessel segmentation (103) by means of a trained convolutional neural network (CNN) that is trained to process the preprocessed scan data to output a mask denoting the coronary vessels.

An image processing apparatus that processes a radiation image generates a decomposition image representing a planar distribution related to a material, using a plurality of radiation images of an object containing a target object that correspond to different radiation energies, and obtains a target object image related to the target object using a band limitation image corresponding to a frequency band related to a size of the target object, the band limitation image being obtained by performing frequency decomposition on the decomposition image.

An electronic device includes a processor configured to generate a position movement prediction field indicating prediction of a potential positional change of a branch path by a patient's biological activity for one or more branch paths based on a blood vessel image of a reference frame, correct guidewire information extracted from a blood vessel image of a target frame with respect to a catheter position of the reference frame, and select a branch path to dispose the guidewire information, among one or more branch paths of a blood vessel region based on the position movement prediction field and the corrected guidewire information; and a display configured to visualize the guidewire information on the selected branch path.

The present disclosure relates to an imaging system and method. Specifically, an imaging system comprises: a positioning image acquisition unit, configured to acquire a positioning image of a scanning object; a monitoring slice image acquisition unit, configured to determine a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point; and a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest. The present disclosure can accurately acquire the position of the monitoring slice, and can accurately obtain the target region of interest through segmentation by a cascaded coarse segmentation and fine segmentation.

The present discovery generally pertains to the formulation of therapeutic compounds to treat the symptoms of esophageal disorders. More specifically, the present discovery pertains to two 1-di-alkyl-phosphinoyl-alkanes (DIPA) called DIPA-1-8 and DIPA-1-9. These compounds are formulated as a shaped medicament and swallowed to suppress the symptoms of esophageal reflux and dyspepsia. The DIPA act by creating sensations of coolness and cold on the pharyngeal and esophageal lining. Some of the symptoms relieved include cough, chronic cough, heartburn, chest pain, bloat, belching, and dyspepsia. A preferred embodiment is DIPA-1-9 dissolved in a gel matrix. An aspect of the invention is to design the medicament to be intercepted, impeded, ensnarled, or trapped in the pharyngeal valleculae and pyriform sinuses before it passes down the esophagus. The goal is to prolong the transit time of the medicament, also herein sometimes call the Shaped-Gel, in the hypopharynx and esophagus, so the active ingredient has ample time to dissolve in saliva and reach receptors for cooling. By experiment, the ideal formulation of the Shaped-Gel was a flat rectangular or toroid shape, with a mass of 0.3 to 0.8 g. Flatness was defined as a pill with the shortest axis, preferentially 5 to 45% of the longest axis.

A method is for providing a medical image of a patient, acquired via a computed tomography apparatus. An embodiment of the method includes acquiring first projection data of a first measurement region; acquiring second projection data of a second measurement region; registering a reference image to the at least one respiration-correlated image of the patient, wherein the reference image corresponds to the at least one functional image of the patient or is reconstructed under a second reconstruction rule from the second projection data, to produce a deformation model; applying the deformation model to the at least one functional image of the patient; combining the at least one functional image of the patient, deformed by the applying of the deformation model, with the at least one respiration-correlated image of the patient, to produce the medical image of the patient; and providing the medical image of the patient.