The present disclosure is related to systems and methods for image evaluation. The method may include obtaining an original image including a representation of at least one subject. The method may include generating a plurality of target positioning results for each of the at least one subject by inputting the original image into a prediction model. The prediction model may include a plurality of branches. Each of the plurality of target positioning results may correspond to a branch of the plurality of branches. The method may include determining an evaluation result corresponding to the original image based on the plurality of target positioning results.

A mobile radiography apparatus is configured to sparsely sample radiographic projection images to generate high resolution tomosynthesis volume images using a digital radiographic detector that is mechanically uncoupled from the x-ray source and an artificial intelligence network. The artificial intelligence network is trained to correct a volume image generated from sparsely sample projection images to generate the high resolution tomosynthesis volume images.

A method for geometric calibration of a volume imaging apparatus disposes calibration phantom in a radiation path that includes a subject positioned between an x-ray source and a detector. The phantom has a number of radio-opaque markers formed of a marker material. In a repeated sequence, at each of a number of positional relationships of the x-ray source to the detector: 2D projection image data is acquired for the subject and the phantom, wherein the 2D projection image data distinguishes at least first and second x-ray energy distributions; source-to-detector geometry of the imaging apparatus is calculated, corresponding to the acquired 2D projection image data for the first and second x-ray energy distributions. The method reconstructs and displays a 3D volume image of the subject according to acquired anatomy image data from the subject and source-to-detector geometry within the 2D projection images.

Provided in the present application are an assistance system and method for a suspension device, and an X-ray imaging system. The suspension device includes a tube device, a tube controller, a motion driving device and an assistance system. The motion driving device is capable of driving the suspension device to move along a first coordinate system. The assistance system includes a measurement device and a control device. The measurement device is disposed between the tube device and the tube controller so as to obtain an initial force of an operator, wherein the initial force includes the magnitude and direction of a force along a second coordinate system in which the measurement device is located. The control device includes a calibration unit and a calculation unit. The calibration unit is used for calibrating the initial force to obtain a calibrated force. The calculation unit is used for performing a coordinate transformation on the calibrated force to obtain a torque value corresponding to the first coordinate system, and sending the torque value to the motion driving device to enable the motion driving device to provide assistance on the basis of the torque value.

The present disclosure provides a system for imaging via an imaging device including a plurality of radiation sources. Each of at least a portion of the plurality of radiation sources may be configured with a beam stop array that is configured to block at least a portion of radiation beams emitted by the radiation source. For one of the at least a portion of the plurality of radiation sources, the system may determine, based on a scatter distribution, first image data, and second image data, third image data of a subject corresponding to each of the at least a portion of the plurality of radiation sources. For each of at least a portion of the plurality of radiation sources, the system may further determine, based on image data of the subject, target image data of the subject using a calibration model.

An electromagnetic tracking system including a patient support element and an electromagnetic field generator. The patient support element is superposed relative to the electromagnetic field generator, and the electromagnetic field generator is selectively moveable relative to the patient support element.

A curved compression element, such as a breast compression paddle, and imaging systems and methods for use with curved compression elements. A system may include a radiation source, a detector, and a curved compression element. Operations are performed that include receiving image data from the detector; accessing a correction map for the at least one compression paddle; correcting the image data based on the correction map to generate a corrected image data; and generating an image of the breast based on the corrected image data. The breast compression element generally has no sharp edges, but rather has smooth edges and transitions between surfaces. The breast compression paddle also includes a flexible material that spans a portion of a curved bottom surface of the breast compression paddle to define a gap. The flexible material may be a thin-film material such as a shrink wrap.

The present invention relates to a system and a method for calibration between coordinate systems of a 3D camera and a medical imaging apparatus and an application thereof. The calibration system comprises: a calibration tool arranged on a scanning table, wherein the calibration tool is provided with markers and a reference point, the reference point is aligned with a center of the medical imaging apparatus to serve as an origin of the coordinate system of the medical imaging apparatus, and positions of the markers in the coordinate system of the medical imaging apparatus are calculated according to relative positions of the markers with respect to the reference point; a 3D camera for capturing images of the markers and determining positions of the markers in the coordinate system of the 3D camera based on the captured images; and a calculation device for calculating a calibration matrix using the positions of the markers in the coordinate system of the 3D camera and the positions of the markers in the coordinate system of the medical imaging apparatus, and performing calibration between the coordinate system of the 3D camera and the coordinate system of the medical imaging apparatus using the calibration matrix. The method corresponds to the aforementioned system. The present invention further relates to an application of the calibration and a computer-readable storage medium capable of implementing the method and the application.

A system for constructing fluoroscopic-based three-dimensional volumetric data of a target area within a patient from two-dimensional fluoroscopic images including a structure of markers, a fluoroscopic imaging device configured to acquire a sequence of images of the target area and of the structure of markers, and a computing device. The computing device is configured to estimate a pose of the fluoroscopic imaging device for at least a plurality of images of the sequence of images based on detection of a possible and most probable projection of the structure of markers as a whole on each image of the plurality of images. The computing device is further configured to construct fluoroscopic-based three-dimensional volumetric data of the target area based on the estimated poses of the fluoroscopic imaging device.

A method for verifying aperture positions of a pre-patient collimator of a computed tomography (CT) imaging system includes obtaining data collected by an X-ray measurement device having detector elements subjected to X-rays emitted from an X-ray source of the CT imaging system with the pre-patient collimator at an expected aperture position. The method also includes calculating a measured collimator aperture position for the pre-patient collimator based on the obtained data. The method further includes comparing the measured collimator aperture position to a system specification for the expected aperture position for the CT imaging system. The method even further includes generating an output based on the comparison of the measured collimator aperture position to the system specification.