An N-M tomography system comprising: a carrier for the subject of an examination procedure; a plurality of detector heads; a carrier for the detector heads; and a detector positioning arrangement operable to position the detector heads during performance of a scan without interference or collision between adjacent detector heads to establish a variable bore size and configuration for the examination. Additionally, collimated detectors providing variable spatial resolution for SPECT imaging and which can also be used for PET imaging, whereby one set of detectors can be selectably used for either modality, or for both simultaneously.

An X-ray diagnostic apparatus of an embodiment includes processing circuitry. The processing circuitry determines a concentration of a contrast agent in contrast-enhanced image collection based on first reference information in which a recommended contrast in a contrast-enhanced image is associated with each region of interest to be subject to collection of the contrast-enhanced image, and on second reference information that indicates a relation among a generation condition of an X-ray, a concentration of a contrast agent, and a contrast. The processing circuitry calculates setting information of an injector to inject a contrast agent to the subject based on the determined concentration of a contrast agent.

A method of imaging a breast compressed with a foam paddle includes emitting an x-ray energy from an x-ray source towards the breast and the foam paddle having a plurality of upper markers and a plurality of lower markers, wherein the plurality of lower markers are movable relative to the upper markers. The x-ray energy is detected at a detector disposed opposite the breast from the x-ray source. An image of the compressed breast is generated based on the detected x-ray energy. At least one of the plurality of upper markers and at least one of the plurality of lower markers is identified in the image. A thickness of the compressed breast at a plurality of thickness locations is determined, wherein each of the plurality of thickness locations corresponds to at least one of the plurality of lower markers.

In one embodiment, there is provided a method of optimizing image quality and organ dose for computed tomography (CT). The method includes segmenting, by an organ segmentation module, at least one organ based, at least in part, on patient image data. The method further includes determining, by a Monte Carlo dose module, a patient-specific heterogeneous dose based, at least in part, on the patient image data and based, at least in part, on a selected CT scanner data. The method further includes determining, by a patient-specific organ dose module, a patient-specific nominal organ dose for each segmented organ based, at least in part, on the patient-specific heterogeneous dose. The method further includes determining, by an inverse optimization module, at least one CT scanner parameter configured to optimize image quality and a selected patient-specific organ dose of at least one selected organ.

Provided is a 3D bone density and bone age calculation apparatus using an artificial intelligence-based rotation manner. The 3D bone density and bone age calculation apparatus includes a main body, and the main body includes a rotary drum including a drum shaft gear, an X-ray generator, an intensifying screen, and an image data capturer, a drum driver including a motor shaft gear connected to the drum shaft gear so as to rotate the rotary drum, a motor, support rollers and one of an origin sensor and an encoder, an outer case and an inner case, a front case and a rear case, a capturing holder, and a controller configured to select an image-captured position of the rotary drum, and configured to input a current age, sex and nutritional status of a patient, etc. The controller includes a display configured to display captured images and a diagram indicating bone age.

The present disclosure provides systems and methods for performing an automated scan preparation for a scan of a target subject. The automated scan preparation may include, for example, identifying a target subject to be scanned, generating a target posture model of the target subject, causing a movable component of a medical imaging device to move to its target position, controlling a light field of the medical imaging device, determining a target subject orientation, determining a dose estimation, selecting at least one target ionization chamber, determining whether the posture of the target subject needs to be adjusted, determining one or more scanning parameters (e.g., a size of a light field), performing a preparation check, or the like, or any combination thereof.

A method and an apparatus for estimating a geometric thickness of a breast in mammography/tomosynthesis or in other x-ray procedures, by imaging markers that are in the path of x-rays passing through the imaged object. The markings can be selected to be visible or to be invisible when the composite markings/breast image is viewed in clinical settings. If desired, the contribution of the markers to the image can be removed through further processing. The resulting information can be used determining the geometric thickness of the body being x-rayed and thus setting imaging parameters that are thickness-related, and for other purposes. The method and apparatus also have application in other types of x-ray imaging.

A dynamic image processing device including: a receiver configured to receive order information of dynamic image photography; an acquirer configured to acquire a dynamic image that is obtained by performing the dynamic image photography; and a hardware processor configured to select a scattered radiation component removal process to be used in the dynamic image, based on the order information.

The present invention relates to optimizing values for scan parameters for a scan of an object. An object specific exposure time is determined based on a maximal required value of a z-dependent tube current by exposure time product along a z-axis of the object and a maximal available tube current value of a tube used for the scan of the object (140). The maximal available tube current value depends on a tube voltage and maximal electric power of the tube at given focal spot area (110) and the z-dependent tube current by exposure time product profile is based on a dose index value or a pixel noise index value for the scan of the object, the tube voltage, and a z-dependent object size along the z-axis (120). The object specific exposure time is used for determining values of the scan parameters for the scan of the object (150).

The present disclosure relates to systems and methods for taking X-ray images. The method may include obtaining reference data associated with an object, the reference data including at least one of height data or historical data. The method may also include determining at least one of a start point or an end point of an imaging region associated with the object based on the reference data. The method may further include causing to take an X-ray image of the imaging region based on at least one of the start point or the end point.