The present application discloses a pixel circuit of a photo detector panel. The pixel circuit includes a reset sub-circuit for resetting voltages at a first node and a second node, a photoelectric-conversion sub-circuit coupled to the first node and configured to convert an optical signal to a first voltage at the first node, a compensation sub-circuit coupled between the first node and the second node and configured to store the first voltage and determine a second voltage at the second node. The pixel circuit further includes an integration sub-circuit coupled to the first node and to determine a third voltage at the second node to be applied to a gate of a driving transistor to generate a current flowing from an input port provided with a bias voltage to an output port. The current is substantially independent from a threshold voltage of the driving transistor and the bias voltage.

A method for improving an image quality of X-ray tomograms includes generating a low-pass filtered X-ray tomogram by applying a low-pass filter to a two-dimensional X-ray tomogram. The low-pass filter is only applied to pixels with image values lying within a predetermined image value interval. A high-pass filtered X-ray tomogram is generated by subtracting the low-pass filtered X-ray tomogram from the two-dimensional X-ray tomogram. A Radon transform image is generated by calculating a Radon transform of the high-pass filtered X-ray tomogram. A modified Radon transform image is generated by modifying values of the pixels of the Radon transform image with values lying outside a predetermined value interval. A modified high-pass filtered X-ray tomogram is generated by calculating an inverse Radon transform of the modified Radon transform image. A modified X-ray tomogram is generated by the addition of the modified high-pass filtered X-ray tomogram to the low-pass filtered X-ray tomogram.

A method for improving an image quality of X-ray tomograms includes generating a low-pass filtered X-ray tomogram by applying a low-pass filter to a two-dimensional X-ray tomogram. The low-pass filter is only applied to pixels with image values lying within a predetermined image value interval. A high-pass filtered X-ray tomogram is generated by subtracting the low-pass filtered X-ray tomogram from the two-dimensional X-ray tomogram. A Radon transform image is generated by calculating a Radon transform of the high-pass filtered X-ray tomogram. A modified Radon transform image is generated by modifying values of the pixels of the Radon transform image with values lying outside a predetermined value interval. A modified high-pass filtered X-ray tomogram is generated by calculating an inverse Radon transform of the modified Radon transform image. A modified X-ray tomogram is generated by the addition of the modified high-pass filtered X-ray tomogram to the low-pass filtered X-ray tomogram.

In an X-ray imaging apparatus (100), an image processor (5b) is configured to apply a super-resolution process to a first region (A1) in each of acquired images (Ia), the first region including a subject (S), and to increase a number of pixels according to an increase in resolution in the first region by application of the super-resolution process thereto by a simpler process than the super-resolution process with respect to a second region (A2) other than the first region in each of the acquired images.

In an X-ray imaging apparatus (100), an image processor (5b) is configured to apply a super-resolution process to a first region (A1) in each of acquired images (Ia), the first region including a subject (S), and to increase a number of pixels according to an increase in resolution in the first region by application of the super-resolution process thereto by a simpler process than the super-resolution process with respect to a second region (A2) other than the first region in each of the acquired images.

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 radiation imaging apparatus comprising a first memory storing first gain correction data corresponding to imaging modes, a second memory having a higher read speed than the first memory, and a controller being able to perform imaging in the imaging modes is provided. The controller stores second gain correction data based on the first gain correction data in the second memory after startup, and when an imaging request is issued from startup to storage of all the second gain correction data into the second memory and requested gain correction data which corresponds to a requested imaging mode has been stored in the second memory, performs acquisition of radiation image data and offset correction data in the requested imaging mode and correction for the radiation image data by using the offset correction data and the requested gain correction data stored in the second memory.

An electronic device is provided. The electronic device includes an electronic unit, a sensing circuit and a circuit. The sensing circuit is electrically connected to the electronic unit through a sensing node. The circuit is electrically connected to the sensing node. The circuit is configured to apply a voltage to the sensing node.

A method and apparatus is provided that uses a deep learning (DL) network together with a multi-resolution detector to perform X-ray projection imaging to provide improved resolution similar to a single-resolution detector but at lower cost and less demand on the communication bandwidth between the rotating and stationary parts of an X-ray gantry. The DL network is trained using a training dataset that includes input data and target data. The input data includes projection data acquired using a multi-resolution detector, and the target data includes projection data acquired using a single-resolution, high-resolution detector. Thus, the DL network is trained to improve the resolution of projection data acquired using a multi-resolution detector. Further, the DL network is can be trained to additional correct other aspects of the projection data (e.g., noise and artifacts).

A radiation imaging apparatus comprising a first scintillator, a second scintillator which receives radiation transmitted through the first scintillator, conversion elements and a controller is provided. The conversion elements include first conversion elements and second conversion elements with different sensitivities for detecting light emitted from at least one of the first scintillator or the second scintillator. During radiation irradiation, the controller obtains, from a signal output from one or more measuring element configured to measure a dose of incident radiation, a first signal corresponding to light converted from radiation by the second scintillator, and outputs, based on the first signal, a stop signal configured to stop the radiation irradiation, and after the radiation irradiation, the controller causes the first conversion elements and the second conversion elements to output signals configured to generate an energy subtraction image.