A computed tomography device includes a slipring for rotational transmission and a feed line. The slipring is arranged to be rotatable relative to the feed line. Two sliding contact elements are further included, forming sliding contacts between a slideway of the slipring and the feed line, the two sliding contacts being connected in parallel with one another and electrically conductively connected together via at least one portion of the slideway and via at least one portion of the feed line. Finally, the computed tomography device includes a measuring apparatus, configured to acquire a measured value dependent on a resultant inductance between the two sliding contact elements; and at least one processor, configured to determine an operating state of the two sliding contacts based upon the measured value.

A method is provided for monitoring the exposure to radiation of medical personnel during an X-ray examination of an examination object with an X-ray apparatus. A monitoring unit is activated and continuously scans a first three-dimensional volume that includes a region directly irradiated by the X-ray beam, for objects. When an object is detected, automatic evaluation is performed as to whether the object is a human body part that does not correspond to the examination object and a signal or a display is output if a human body part is determined inside the three-dimensional volume that does not correspond to the examination object.

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.

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.

An exemplary focused tomography system and method involve obtaining a computed tomography scan image from a computed tomography scanner, wherein the computed tomography scan is an image of a subject that received a first radiation dosage level when a path of a radiation beam of the computed tomography scanner intersects a region of interest of the subject and that received a second radiation dosage level when the path of the radiation beam did not intersect the region of interest of the subject; computing an additive correction factor based on a radiation dosage factor that is applied to the areas outside the region of interest during computed tomography scanning; and applying the additive correction factor to the computed tomography scan image that improves a quality of the computed tomography scan image that corresponds to areas of the subject that received the second radiation dosage level.

A method and a system for providing calibration for a photon counting CT detector forward model for material decomposition. Various slabs of predetermined material and path lengths are placed in the photon counting CT detector and scanned using one or more stationary X-rays to obtain calibration data and parametrize the forward model.

A medical image diagnosis apparatus according to an embodiment includes a gantry and a processor. The gantry includes an imaging system configured to perform an imaging process on a subject by using one of radiation and magnetism. The processor is configured to generate a second image by combining a first image acquired by imaging the subject while using an optical imaging device different from the imaging system, with a plane related to an imaging position in the imaging process using the imaging system.

A medical image diagnosis apparatus according to an embodiment includes a gantry and a processor. The gantry includes an imaging system configured to perform an imaging process on a subject by using one of radiation and magnetism. The processor is configured to generate a second image by combining a first image acquired by imaging the subject while using an optical imaging device different from the imaging system, with a plane related to an imaging position in the imaging process using the imaging system.

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.

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.