There is provided a method and corresponding system and apparatus for image reconstruction based on image data from a photon-counting multi-bin x-ray detector. The method includes determining (S1) parameter(s) of a given functional form of the relationship between comparator settings expressed in voltage in the read-out chain of the x-ray detector and the corresponding energy threshold values expressed in energy based on a fitting procedure between a first set of data representative of a measured pulse height spectrum and a second set of data representative of a reference pulse height spectrum. The method also includes performing (S2) image reconstruction based on the image data and the determined parameter(s). In this way, efficient high-quality image reconstruction can be achieved.

A radiation imaging system including an X-ray sensor with a plurality of sensor chips disposed next to each other and an image processing apparatus which performs abnormality determination concerning a white image obtained by irradiating the X-ray sensor with X-rays without any object disposed between the X-ray sensor and an X-ray generator, the system includes: an area acquisition unit configured to acquire information of partial areas of the white image which respectively correspond to the plurality of sensor chips; a distribution acquisition unit configured to acquire distribution information representing variation in pixel value for each of the acquired partial areas; and a determination unit configured to determine, based on the distribution information, whether abnormality is included in the white image.

This disclosure generally relates to systems, methods, and devices for performing high-resolution computer tomography (CT) scans providing highly detailed images of particular regions using whole body clinical CT scanners while maintaining high imaging speeds and low dose levels. In particular, the disclosed systems use flat panel detectors in conjunction with common CT detectors to quickly produce high-resolution CT images.

Disclosed herein is a signal processing system for medical imaging system using a multi threshold voltage. The signal processing system for medical imaging system may include: a signal detector detecting radiation emitted from radiopharmaceutical products injected into an object or radiation irradiated to the object and transmitting the object to generate and output a radiation detection signal; an analog signal processor receiving radiation detection signals for each channel output from the signal detector and a plurality of preset different threshold voltages and each comparing the received radiation detection signals with signals depending on the plurality of different threshold voltages to generate and output a plurality of trigger signals; and a digital signal processor receiving the trigger signals and acquiring energy information, time information, and position information representing detailed information on the radiation detection within the object on the basis of the received trigger signals.

According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry is configured to receive data acquired by scan for an object, and output a reconstructed image data based on the data and a trained model that accepts the data as input data and outputs the reconstructed image data corresponding to the data. The trained model is trained by learning using raw data generated based on a numerical phantom and the numerical phantom.

The present invention relates to acquisition of medical image information of an object. In order to provide a user-friendly alignment of X-ray tube and a detector, optionally combined with an anti-scatter grid, an alignment arrangement is proposed, which comprises a tube attachment with a first light projection device and a detector attachment with a second light projection device. The first and second light projection devices each generate a light pattern on a projection surface. The tube attachment and the detector attachment can be brought into a correct spatial arrangement relative to each other by bringing the first light pattern in a predetermined spatial relation with the second light pattern on the projection surface.

A radiation imaging system capable of obtaining excellent image quality is provided. The radiation imaging system includes a detection unit (205) configured to include a plurality of pixels which are arranged in a matrix and which output pixel values by converting radial rays into charges and to output image information, driving control means (204) for causing the plurality of pixels to perform a resetting operation until a signal indicating irradiation with radial rays is supplied and to stop the resetting operation and perform an operation of accumulating charges when the signal indicating irradiation with radial rays is supplied, and for performing an operation of reading pixel values of the plurality of pixels after the irradiation with radial rays is terminated so as to output image information corresponding to the irradiation with radial rays, correction coefficient obtaining means (207) for calculating correction coefficients in accordance with the image information output from the detection unit, and image correction means (208) for correcting the image information output from the detection unit using the correction coefficients calculated by the correction coefficient obtaining means.

In an X-ray scanning apparatus including a photon counting type X-ray detection element, in order to perform counted number correction specialized for pile-up with high accuracy, the X-ray scanning apparatus includes an X-ray detector in which a plurality of photon counting type X-ray detection elements are disposed, each of the X-ray detection elements detecting an incident X-ray photon, classifying energy of the X-ray photon into two or more energy ranges, and counting the X-ray photon, and a correction unit that corrects the counted number in the X-ray detection element, in which the correction unit includes a counting error amount determination part that determines a counting error amount in a counted number due to pile-up according to a pile-up occurrence probability in two or more X-ray photons

This application relates to a method of measuring a volume of an organ. In one aspect, the method includes acquiring a plurality of captured images of the organ and photographing metadata and preprocessing the plurality of images to acquire a plurality of image patches of a specified size. The method may also include inputting the plurality of image patches into a three-dimensional (3D) convolutional neural network (CNN)-based neural network model and estimating an organ region corresponding to each of the plurality of image patches. The method may further include measuring a volume of the organ by using an area of the estimated organ region and the photographing metadata. The method may further include measuring an uncertainty value of the 3D CNN-based neural network model and uncertainty values of the plurality of images based on a result of estimating by the 3D CNN-based neural network model.

A processor acquires a first radiographic image and a second radiographic image that include the same subject and have different S/N ratios. The processor derives a processing content of a first graininess suppression process on the first radiographic image having a higher S/N ratio of the first radiographic image and the second radiographic image and derives a processing content of a second graininess suppression process on the second radiographic image on the basis of the processing content of the first graininess suppression process. The processor performs a graininess suppression process on the second radiographic image on the basis of the processing content of the second graininess suppression process.