A radiation imager comprising pixels each including a converter to generate a signal, a sampling circuit and a processor is provided. The sampling circuit samples the signal with first sensitivity and with second sensitivity higher than the first sensitivity. If a first signal value obtained by sampling the signal with the first sensitivity is smaller than a first threshold, the processor generates a pixel value based on a second signal value obtained by sampling the signal with the second sensitivity, if the first signal value exceeds a second threshold larger than the first threshold value, the processor generates a pixel value based on the first signal value, and if the first signal value is not less than the first threshold and not more than the second threshold, the processor generates a pixel value based on the first and second signal values.

A radiation imager comprising pixels each including a converter to generate a signal, a sampling circuit and a processor is provided. The sampling circuit samples the signal with first sensitivity and with second sensitivity higher than the first sensitivity. If a first signal value obtained by sampling the signal with the first sensitivity is smaller than a first threshold, the processor generates a pixel value based on a second signal value obtained by sampling the signal with the second sensitivity, if the first signal value exceeds a second threshold larger than the first threshold value, the processor generates a pixel value based on the first signal value, and if the first signal value is not less than the first threshold and not more than the second threshold, the processor generates a pixel value based on the first and second signal values.

A control apparatus includes a detection unit configured to detect switching between a plurality of radiation detection apparatuses, each of the plurality of radiation detection apparatuses being configured to capture a radiographic image through detection of radiation and including a plurality of receptor fields for performing automatic exposure control, an acquisition unit configured to acquire information regarding one of the plurality of radiation detection apparatuses to be used for image capturing in a case where switching to the one of the plurality of radiation detection apparatuses has been detected, and a selection unit configured to select one or more of the plurality of receptor fields of the one of the plurality of radiation detection apparatuses to be used for the image capturing based on the acquired information and information of a subject as an image capturing target and information of a part of the subject to be imaged.

A control apparatus includes a detection unit configured to detect switching between a plurality of radiation detection apparatuses, each of the plurality of radiation detection apparatuses being configured to capture a radiographic image through detection of radiation and including a plurality of receptor fields for performing automatic exposure control, an acquisition unit configured to acquire information regarding one of the plurality of radiation detection apparatuses to be used for image capturing in a case where switching to the one of the plurality of radiation detection apparatuses has been detected, and a selection unit configured to select one or more of the plurality of receptor fields of the one of the plurality of radiation detection apparatuses to be used for the image capturing based on the acquired information and information of a subject as an image capturing target and information of a part of the subject to be imaged.

One embodiment is circuitry for implementing a baseline restoration (“BLR”) circuit for a photon-counting computed tomography (“PCCT”) signal chain, the circuitry comprising a multi-level discriminator circuit for receiving a shaper voltage from the PCCT signal chain, the discriminator circuit outputting a digital signal indicative of one of a range of voltages within which the shaper voltage falls; a digital-to-analog converter (“DAC”) connected to receive the digital signal output from the discriminator circuit, the DAC converting the received digital signal to a corresponding active reference voltage; and a feedback circuit that injects a cancellation current proportional to the difference between the shaper voltage and the active reference voltage at the input of the PCCT signal chain.

For gamma ray detection, 3D tiling is made possible by modules that include a gamma ray detector with at least some electronics extending away from the detector as a side wall, leaving an air or low attenuation gap behind the gamma ray detector. The modules may be stacked to form arrays of any shape in 3D, including stacking to form a Compton detector with a scatter detector separated from the catcher detector by the low attenuation gap where the electronics form at least one side wall between the detectors. The modules may be stacked so that the detectors from the different modules are in different planes and/or not part of a same surface (e.g., same surface provided with just 1D or 2D tiling).

For gamma ray detection, 3D tiling is made possible by modules that include a gamma ray detector with at least some electronics extending away from the detector as a side wall, leaving an air or low attenuation gap behind the gamma ray detector. The modules may be stacked to form arrays of any shape in 3D, including stacking to form a Compton detector with a scatter detector separated from the catcher detector by the low attenuation gap where the electronics form at least one side wall between the detectors. The modules may be stacked so that the detectors from the different modules are in different planes and/or not part of a same surface (e.g., same surface provided with just 1D or 2D tiling).

A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

A radiation detector according to an embodiment includes a housing, an array substrate that is located inside the housing and includes multiple detecting parts detecting radiation directly or in collaboration with a scintillator, a circuit board that is located inside the housing and electrically connected with the array substrate, and a conductive part located between a ground and a plate-shaped body inside the housing, wherein the ground is film-shaped and is located in the circuit board, and the plate-shaped body is conductive and is located in the housing. The conductive part is conductive and includes a softer material than a material of the ground.