Provided is a radiation imaging apparatus, including: a radiation detector configured to detect radiation; a first detector designation unit configured to designate a first radiation detector; a second detector designation unit configured to designate a second radiation detector registered in the radiation imaging apparatus in advance; and an information control unit configured to associate setting information on the second radiation detector with the first radiation detector after the first radiation detector and the second radiation detector are designated.

Provided is a radiographic imaging device including: a first hardware processor; a sensor that includes multiple semiconductor elements arranged two-dimensionally and multiple switch elements respectively connected to the semiconductor elements; a gate driver that causes each of the switch elements of the sensor to switch between a conductive state and non-conductive state so as to release charge from each of the semiconductor elements; and a reader that performs readout of a signal value according to an amount of the charge released by the each of the semiconductor elements of the sensor. The first hardware processor sets an imaging condition that affects a dose of radiation reaching the sensor, selects a gate readout pattern according to the set imaging condition among different gate readout patterns, and drives the gate driver and the reader using the selected gate readout pattern.

A target position determination of a single-slot collimating plate and a collimator assembly are disclosed. A first measurement signal is acquired based upon of the first instance of air scanning, when the single-slot collimating plate moves a predetermined distance from a starting position to a first position in a first direction of the Z axis. A second measurement signal is acquired based upon the second instance of air scanning, when the single-slot collimating plate moves a predetermined distance from the starting position to a second position in the direction opposite to the first direction. A composite measurement signal and a composite air calibration signal are determined based upon the first measurement signal and the second measurement signal. The composite measurement signal is calibrated using the composite air calibration signal. The target position of the single-slot collimating plate is determined based upon the calibrated composite measurement signal.

A body thickness conversion unit converts a body thickness from a distance image imaged by a distance measurement camera to acquire the body thickness. A setting unit sets a gradation transformation function for use in gradation transformation processing to a radiographic image corresponding to the body thickness. A radiographic image acquisition unit acquires the radiographic image output from a radiation detector in radioscopy. A gradation transformation processing unit starts the gradation transformation processing with the gradation transformation function set by the setting unit.

A radiographic imaging system includes a radiographic detector having a scanning device to obtain patient identifying information. The detector is programmed to display the patient identifying information in human readable form and to access additional information about the patient stored in networked databases.

A method and apparatus are provided for nonlinear energy correction of a gamma-ray detector using a calibration spectrum acquired from the background radiation of lutetium isotope 176 (Lu-176) present in scintillators in the gamma-ray detector. Further, by periodically acquiring Lu-176 spectra using the background radiation from the scintillators, the nonlinear energy correction can be monitored to detect when changes in the gamma-ray detector cause the detector to go out of calibration, and then use a newly acquired Lu-176 spectrum to update the calibration of the nonlinear energy correction as needed. The detector calibration is performed by comparing a reference histogram to a calibration histogram generated using the nonlinear energy correction, and adjusting the parameters of the nonlinear energy correction until the two histograms match. Alternatively, the detector calibration is performed by comparing reference and calibration values for specific spectral features, rather than for the whole Lu-176 spectrum.

A general workflow for deep learning based image restoration in X-ray and fluoroscopy/fluorography is disclosed. Higher quality images and lower quality images are generated as training data. This training data can further be categorized by anatomical structure. This training data can be used to train a learned model, such as a neural network or deep-learning neural network. Once trained, the learned model can be used for real-time inferencing. The inferencing can be more further improved by employing a variety of techniques, including pruning the learned model, reducing the precision of the learned mode, utilizing multiple image restoration processors, or dividing a full size image into snippets.

There are provided a phantom capable of reducing the time required to acquire calibration data even if a radiation field is large, a radiographic imaging device, and a method for calibrating a photon counting detector. A phantom, which is used in acquisition of calibration data for a photon counting detector that outputs an electric signal based on photon energy of incident radiation, includes a first basis material and a second basis material that are known materials. The first basis material has a smaller attenuation coefficient for the radiation than that of the second basis material. The first basis material varies in thickness in a stepwise fashion in a direction perpendicular to a radiation field of the radiation and, in each step, the step decreases in thickness with distance from a center of the radiation field in a direction of arrangement of detection elements of the photon counting detector.

An X-ray imaging apparatus includes an X-ray source, an X-ray imaging panel, and a controller. The controller includes an image processing unit that generates an inspection image in accordance with a data signal read from a thin-film transistor with the thin-film transistor supplied with a gate signal, a detection control unit that detects a dark-spot pixel from the inspection image, and a threshold correction unit that applies, to a gate of the thin-film transistor corresponding to the dark-spot pixel, a positive shift voltage that raises a gate-off threshold voltage of the thin-film transistor.

A method for calibrating defective channels of a CT device involves in a step S10, acquiring original data collected by the CT device; in a step S20, capturing to-be-recovered areas from the original data, wherein the to-be-recovered areas contain the defective channels of the CT device; in a step S30, inputting data of the to-be-recovered areas to a neural network for training so as to generate training results; and in a step S40, using the training results to repair the to-be-recovered areas. The method eliminates effects of artifacts caused by defective channels on image reconstruction.