The disclosure relates to a method for operating a medical device, (e.g., an imaging apparatus such as an X-ray device or magnetic resonance tomography unit), and a fault monitoring apparatus for carrying out the method. The fault monitoring apparatus is connected to the medical device via a signal connection. In the method, the fault monitoring apparatus receives an item of status information from the medical device and stores the item of status information in a system state. Further, the fault monitoring apparatus compares the stored system state with a predetermined target state, and, depending on the comparison, releases a function of the medical device, wherein the predetermined target state has a successfully executed function test.

A mobile diagnostic imaging system includes a battery system and charging system. The battery system is located in the rotating portion of the imaging system, and includes one or more battery packs comprising electrochemical cells. Each battery pack includes a control circuit that controls the state of charge of each electrochemical cell, and implements a control scheme that causes the electrochemical cells to have a similar charge state. The battery system communicates with a charging system on the non-rotating portion to terminate charge when one or more of the electrochemical cells reach a full state of charge. The imaging system also includes a docking system that electrically connects the charging system to the battery system during charging and temporarily electrically disconnects the rotating and non-rotating portions during imaging, and a drive mechanism for rotating the rotating portion relative to the non-rotating portion.

An imaging system (IS) including device (G, IFD) for phase contrast and/or dark field imaging such as a grating (G). The device has a periodic structure with a spatial period p. The imaging system (IS) further includes a phase stepping mechanism (PSM) configured to facilitate a relative phase stepping motion between the device (G, IFD) and a focal spot (FS) of an X-ray source (XS) of the imaging system (IS). The relative phase stepping motion covers a distance greater than the said spatial period to reduce artifacts in dark-field or phase contrast imagery caused by defects in the grating.

A radiography apparatus includes: an irradiation unit that emits radiation; an arm that can hold the irradiation unit and an image receiving unit in a facing posture; a first rotation mechanism that rotates the arm; and a friction mechanism that is switchable between a first state in which a frictional force is applied to the arm in a direction opposite to a direction in which the arm is rotated and a second state in which the frictional force applied to the arm is less than that in the first state.

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 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.

Provided are an X-ray detector having fabrication fault tolerant structure and a method for manufacturing the same using a micro-transfer printing (MTP) technique. The X-ray detector may include a photodiode layer formed on a base substrate within a pixel area and including a plurality of photodiode pixel units, a dummy layer formed the base substrate within a peripheral area, a plurality of pixel driving integrated chips printed on the photodiode layer, a plurality of primary column and row integrated chips printed on the dummy layer, and metal lines coupling the column and row integrated chips with pixel driving integrated chips and other constituent elements, wherein the plurality of pixel driving integrated chips and primary column and row integrated chips are manufactured separately from the photodiode layer and the dummy layer and attached on the photodiode layer and the dummy layer, respectively.

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 data processing apparatus according to an embodiment includes acquisition circuitry and specification circuitry. The acquisition circuitry is configured to acquire a detector signal containing a first component that is based on Cherenkov light and a second component that is based on scintillation light. The specification circuitry is configured to specify timing information about generation of the detector signal by curve fitting to the first component.

The present application discloses a method for detecting an abnormity in a ray source in a CT system, comprising obtaining scanning data obtained from at least two scans that are performed by a medical device, the medical device including a ray source configured to generate a plurality of rays and a detector configured to detect the plurality of rays; determining, based on a difference of the scanning data, a status characteristic index of the ray source; and determining whether abnormity exists in the ray source based on the status characteristic index.