A CFD-based diagnostic system can be used as a non-invasive diagnostic and monitoring tool for ECAC, central airway obstruction diseases, OSA and airway stenosis. The process is expected to reduce the time of diagnosis, number of tests, and hospitalization time.

Systems and methods for chest condition determination can leverage one or more machine-learned models to process radiograph data to determine risk data (e.g., a preliminary diagnosis). For example, systems and methods can utilize a pathology model to process a chest x-ray to generate a tuberculosis diagnosis. The one or more machine-learned models can segment the lungs, can detect features in the data, and can pool the segmentation and located features to determine the diagnosis.

Systems and methods are provided for evaluating tissue for abnormal glucose uptake within a region of interest within a patient. A PET scanner obtains PET imagery including the region of interest and at least part of the liver. An SUV calculator calculates a first set of SUVs representing the region of interest and a second set SUVs representing the liver from the set of at least one PET image. A standardization component calculates a correction value as a function of the second set of SUVs and applies the correction value to either a decision threshold associated with the region of interest or the first set of SUVs. A diagnosis component compares the first set of SUVs to the decision threshold to determine if the glucose uptake within the region of interest is abnormal. A display provides the determination to a user.

A PET/CT imaging system is provided. The imaging system includes a PET detection system having a plurality of detector rings and an axial gap between at least two adjacent detector rings within the plurality of detector rings. The imaging system includes a CT system having an x-ray generator and a CT detection system positioned within the axial gap between the at least two detector rings. The system is configured to collect PET data and CT data on the same volume of interest substantially simultaneously.

A method is described for the determination of a calcium score for a patient to be examined with the aid of a CT system. The method is used to define patient-specific CT-acquisition parameters. In addition, material parameters for a model method for the generation of synthetic image data for virtual CT-acquisition parameters are calibrated using phantom image data recorded with reference CT-acquisition parameters. A calcium score assigned to synthetic phantom image data corresponds to a calcium score determined with phantom image data recorded with reference CT-acquisition parameters. Next, CT-projection-measurement data is acquired for a region of interest using the patient-specific CT-acquisition parameters. The acquired CT-projection-measurement data is used to generate synthetic image data using the calibrated model method. Finally, a calcium score is determined using a standard method on the basis of the synthetic image data. Also described is a calcium-score-determining device. Also described is a computed tomography system.

A composition information obtaining unit calculates a mammary gland/fat ratio and a first information obtaining unit obtains imaged contrast information representing a contrast of the radiation image. A second information obtaining unit sets target application condition of X-ray, and obtains target contrast information representing an intended contrast for the radiation image based on the intended application condition. A contrast correction amount determination unit determines a contrast correction amount based on the imaged contrast information and the target contrast information. An image processing unit performs image processing, including gradation processing based on the determined contrast correction amount, on the radiation image, and obtains a processed radiation image.

Metal complexes including a radionuclide and a compound of Formula I and Formula II are potent inhibitors of PSMA.

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A method of creating a diagnostic evaluation for usual interstitial pneumonia is provided, including obtaining a first plurality of series of HRCT lung slices indicating the presence of UIP, obtaining an identification of UIP and non-UIP voxels, extracting textural and localization features from the UIP and non-UIP voxels, selecting features that are more accurate in differentiating UIP voxels from non-UIP voxels than other features are, eliminating features highly correlated with a more accurate feature, and constructing a predictive model by performing a second classifier to provide a probability that a voxel signifies the presence of UIP. Also provided is a method of identifying UIP in a subject's lung by applying a diagnostic evaluation for UIP that was created with the foregoing method.

A radiographing system and a radiographing method capable of improving the image quality of a long-sized image by appropriately correcting scattered radiation are disclosed. The radiographing system includes a plurality of radiation detecting apparatuses that can detect radiation and output radiographic images, a composition processing unit configured to generate a long-sized image by composing a plurality of radiographic images acquired from the plurality of radiation detecting apparatuses, and a scattered radiation correction unit configured to perform processing for correcting scattered radiation for a radiographic image output from at least one of the plurality of radiation detecting apparatuses.

Systems, apparatuses, and methods for diagnosing ureteropelvic junction obstruction. A set of biomarkers may be extracted from each of one or more time-activity curves associated with diuresis renography and/or functional magnetic resonance urography of one or more kidneys of a patient. One or more calculations can be performed based on the set of biomarkers to identify uretero-pelvic junction obstruction and a classification of severity or criticality thereof.