Various methods and systems are provided for calibrating a camera-based feature detection system for an x-ray system having a support surface, and a gantry operably connected to the support surface and a light source disposed on the gantry, where the gantry defines a system referential. The x-ray system includes a camera spaced from the gantry and operably connected to a calibration system, the camera defining a camera referential within which the support surface and gantry are positioned. The calibration system registers the camera referential to the system referential by operating the light source to position an indication on the support surface and by obtaining a number of camera images of the indication on the support surface and corresponding indication location in the system referential.

The present invention relates to a method, and a corresponding device, for testing a radius of curvature and/or for detecting inhomogeneities of a curved X-ray grating for a grating-based X-ray imaging device. The method comprises generating a beam of light diverging from a source point, propagating along a main optical axis and having a line-shaped beam profile. The method comprises reflecting the beam off a concave reflective surface of the grating. A principal axis of the concave reflective surface coincides with the main optical axis and the source point is at a predetermined distance from a point where the main optical axis intersects the concave reflective surface. The method comprises determining whether a projection of the reflected beam in a plane at or near the source point is present outside a central region around the source point, in which an absence of this projection outside the central region indicates that a radius of curvature of the concave reflective surface corresponds to the predetermined distance and/or that the reflective surface is substantially homogeneously curved along a curve formed by the beam impinging on the concave reflective surface.

A method, system and computer readable storage media for segmenting individual intra-oral measurements and registering said individual intraoral measurements to eliminate or reduce registration errors. An operator may use a dental camera to scan teeth and a trained deep neural network may automatically detect portions of the input images that can cause registration errors and reduce or eliminate the effect of these sources of registration errors.

Provided is a technology with which defective pixel information in taking a radiation image and defective pixel information in detecting a dose can be generated efficiently. Provided is a radiation imaging apparatus including: a plurality of pixels arranged to convert radiation into an electric signal; and a generation unit configured to generate, based on the electric signal obtained as a result of a conversion by the plurality of pixels, first defective pixel information indicating a defective pixel in taking a radiation image among the plurality of pixels, and second defective pixel information indicating a defective pixel in detecting a dose among the plurality of pixels.

A method for increasing accuracy of positioning an X-ray device relative to an examination subject using a camera system includes recording a first data set, acquiring original positioning information pertaining to the X-ray device and specifying a target position of the X-ray device relative to the original position. The X-ray device is positioned out of the original position into a first approach position using the original positioning information, and a second data set is recorded. A deviation between the target position and the first approach position is determined by a reconciliation between the first data set and the second data set. The X-ray device is positioned out of the first approach position into a second approach position using the determined deviation.

An X-ray CT apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain initial temperature information of a photon counting detector before a main scan, information about the shape of a subject, and a scan condition of the main scan. The processing circuitry is configured to estimate a temperature change of the photon counting detector to be observed when the main scan is performed, on the basis of the initial temperature information, the information about the shape of the subject, and information about the scan condition of the main scan. The processing circuitry is configured to judge whether or not it is possible to perform the main scan, on the basis of the temperature change and the initial temperature information.

A photon counting computed tomography (CT) apparatus actually measures corrective measurement values by radiating X-rays from an X-ray tube and counting X-ray photons in each of a plurality of energy bands in a vacant state in which no subject is arranged in an imaging range of the photon counting CT apparatus and/or in a state in which one or more types of corrective materials are arranged at a position through which X-rays radiated from the X-ray tube pass, and corrects measurement values in a material decomposition map based on the actually measured corrective measurement values.

A system and a method by which multiple regions or objects of interest can be indicated within an X-ray image, from which a user can select a primary region or object of interest and accordingly adjust the appropriate X-ray dose for obtaining a better quality image of the selected regions or objects of interest.

A method is for determining a patient-adjusted breast compression in mammography. In an embodiment of the method, input data including individual, person-related data of a female patient, is determined. Furthermore, an adjusted individual compression point is determined by applying a function, trained by an algorithm based on machine learning, to the input data. The adjusted individual compression point is generated as the output data. Other embodiments include a method for providing a trained function; a breast compression determining device; a training device; and a mammography system.

The present invention relates to a device for determining a volume of projection of a dual-axis computed tomography system with at least one shutter, the device (1) comprising: an interface unit (2); a projection module (3); and a position determination module (4); wherein the interface unit (2) is configured to receive a volume of interest (44) for a computed tomography image showing an object (22); wherein the projection module (3) is configured to determine a volume of projection (41, 42, 46) of a detector (16) based on different simulated positions of the detector (16) on a trajectory around the object (22) and based on a variable simulated position of at least one shutter (15); and wherein the position determination module (4) is configured to determine the simulated position of the at least one shutter (15) for each determined simulated position of the detector (16) such that the volume of projection (41, 42, 46) corresponds to the volume of interest (44). The present invention avoids that parts of an object of interest are unintentionally not imaged in dual-axis computed tomography imaging whilst reducing x-ray absorption to parts of the object outside the volume of interest (44) and provides improved insight in the volume of projection (41, 42, 46) of a dual-axis trajectory acquisition.