A processor functions as a trained neural network that derives an estimation result relating to a three-dimensional bone density of a bone part from a simple radiation image acquired by simply imaging a subject including the bone part, or a DXA scanning image acquired by imaging the subject by a DXA method. The trained neural network learns using, as teacher data, (i) two radiation images or the like acquired by imaging the subject including the bone part with radiation having different energy distributions, and a two-dimensional bone density of the bone part included in the two radiation images or the like, or (ii) the radiation image or the like of the subject or a bone part image representing the bone part of the subject, the two-dimensional bone density of the bone part included in the radiation image or the like, or the bone part image, and the three-dimensional bone density of the bone part of the subject.

A mini C-arm with a movable X-ray source is disclosed. The mini C-arm including a moveable base, a C-arm assembly, and an arm assembly for coupling the C-arm assembly and the base. The C-arm assembly includes a first end, a second end, and a curved intermediate body portion defining an arc length. The source is positioned adjacent to the first end. A detector is positioned at the second end. The source is moveable along the arc length and relative to the detector to enable a plurality of images of the patient's anatomy to be acquired including a first image when the X-ray source is at a first position and a second image when the X-ray source is at a second position. The images being taken without moving the patient's anatomy. The C-arm assembly may include a motor and a belt drive system for moving the source relative to the detector.

The present disclosure relates to methods of administering [.sup.18F]-FACBC for imaging, diagnosing, and/or monitoring of myeloma bone lesions.

Imaging systems and methods may facilitate positioning an imaging device in a procedure room. A 3D image of a subject may be obtained, where the subject is to have a procedure performed thereon. A view of the 3D image of the subject may be adjusted to a desired view and an associated 2D image reconstruction at the desired view may be obtained. A position for the imaging device that is associated with the desired view of the 3D image of the subject may be identified. Adjusting a view of the 3D image to a desired view and obtaining a 2D image reconstruction may be performed pre-procedure, such that a user may be able to create a list of desired views pre. A user may adjust a physical position of the imaging device to obtain reconstructed 2D preview images at the adjusted physical position of the imaging device prior to capturing an image.

A mobile DR applicable to in-vivo detection of multi-thoracolumbar variations in equine animals and a use method are provided. The DR mainly comprises four aspects: (1) a digital flat-panel X-ray imaging system; (2) equine animal retaining device system (radiography bed) applicable to different body sizes; (3) radiography parameters applicable to equine animals of different body sizes and at different developmental stages; and (4) a stitching system Polaris for radiographed pictures. The digital flat-panel X-ray imaging system comprises an X-ray tube, a beam limiting device, a high-voltage generator, a flat-panel detector, an image acquisition workstation.

A processing device receives, from a three-dimensional (3D) motion capture system, initial data representing an initial orientation of a subject user's body in an initial position. The processing device further receives x-ray data representing at least the portion of the subject user's body in the initial position. The processing device determines an actual orientation of at least one bone or joint from the portion of the subject user's body in the initial position as represented in the x-ray data and calibrates the initial orientation of the 3D motion capture system to reflect the actual orientation of the at least one bone or joint in the initial position.

Systems and methods for calculating external bone loss for alignment of pre-diseased joints comprising: generating a three-dimensional (“3D”) computer model of an operative area from at least two two-dimensional (“2D”) radiographic images, wherein at least a first radiographic image is captured at a first position, and wherein at least a second radiographic image is captured at a second position, and wherein the first position is different than the second position; identifying an area of bone loss on the 3D computer model; and applying a surface adjustment algorithm to calculate an external missing bone surface fitting the area of bone loss.

A method of calculating leg length discrepancy of a patient including: receiving patient bone data associated with a lower body of the patient; identifying anatomical landmarks in the patient bone data; orienting a first proximal landmark and a second proximal landmark relative to each other and an origin in a coordinate system; aligning a first axis associated with a first femur and a second axis associated with a second femur with a longitudinal axis extending in a distal-proximal direction, wherein the first and second distal landmarks are adjusted according to the alignment of the first and second axes; calculating a distance between the first and second distal landmarks in the distal-proximal direction along the longitudinal axis; and displaying at least one of the distance or a portion of the patient bone data on a display screen.

The present disclosure provides systems and methods for performing quality control assessments of a three dimensional (3D) printing system. In particular, the present disclosure provides a phantom designs for use in 3D printing systems, as well as methods of quality control for a 3D printing system performed using a 3D printed phantom.

An X-ray image processing method, including obtaining a first X-ray image of an object including a plurality of materials including a first material and a second material; obtaining a first partial image generated by imaging the first material and a second partial image generated by imaging the first material overlapping the second material from the first X-ray image; obtaining first information related to a stereoscopic structure of the first material, based on the first partial image included in the first X-ray image; and obtaining second information about the second material based on the first information and the second partial image.