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.

A medical image processing apparatus includes at least one processor, and the processor acquires a purpose of examination of a target medical image to be interpreted. The processor detects a first abnormal shadow from the target medical image and displays a detection result of the first abnormal shadow on a display. The processor sets, according to the purpose of the examination, a first detection threshold value for detecting the first abnormal shadow or a first display threshold value for displaying the detection result of the first abnormal shadow.

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.

The present disclosure relates to a method for generating an image. The method may include obtaining a preliminary image of an object. The method may include determining a plurality of point radiation sources of at least one array radiation source at least partially based on an ROI of the object. The method may include determining at least one scanning parameter associated with the plurality of point radiation sources based on the preliminary image. The method may include causing the plurality of point radiation sources to emit radiation beams to the ROI to generate scan data relating to the ROI based on the at least one scanning parameter. The method may include obtaining scan data relating to the ROI. The method may further include generating a target image of the ROI based on the scan data relating to the ROI.

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.

The invention relates to a system for assessing a pulmonary image which allows for an improved assessment with respect to lung nodules detectability. The pulmonary image is smoothed for providing different pulmonary images (20, 21, 22) with different degrees of smoothing, wherein signal values and noise values, which are indicative of the lung vessel detectability and the noise in these images, are determined and used for determining an image quality being indicative of the usability of the pulmonary image to be assessed for detecting lung nodules. Since a pulmonary image shows lung vessels with many different vessel sizes and with many different image values, which cover the respective ranges of potential lung nodules generally very well, the image quality determination based on the different pulmonary images with different degrees of smoothing allows for a reliable assessment of the pulmonary image's usability for detecting lung nodules. The image quality is used to determine a radiation dose level to be applied for generating a next pulmonary image.

An imaging system is provided that includes a gantry defining a bore configured to accept an object to be imaged, wherein the gantry is configured to rotate about the bore. The system includes multiple detector units mounted to the gantry and configured to rotate with the gantry around the bore in rotational steps, each detector unit configured to sweep about a corresponding axis and acquire imaging information while sweeping about the corresponding axis. The system includes at least one processor operably coupled to at least one of the detector units that is configured to acquire, during an initial portion of a scan, imaging information of the object based on an initial contour and to detect an actual emission contour based on the imaging information. The processor is configured to update a scan sweep plan based on the detected actual emission contour for a remaining portion of the scan.

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 methods and systems for calibrating an X-ray apparatus. The X-ray apparatus may include an X-ray detector and a collimator. To calibrate the X-ray apparatus, the methods and systems may include moving the X-ray detector from a first position to a second position along a first axis of a coordinate system, wherein the first position is under a scanning table, and the second position is outside the scanning table; moving the collimator to align the collimator with the X-ray detector at the second position; determining one or more parameters; and determining a second value of the first encoder when the collimator is aligned with the X-ray detector at the first position based on the one or more parameters.