This disclosure relates to planning systems and methods. The planning systems and methods disclosed herein may be utilized for planning orthopaedic procedures to restore functionality to a joint, and may include one or more calibration objects for calibrating images of patient anatomy.

Methods for quantitatively separating x-ray images of a subject having three or more component materials into component images using spectral imaging or multiple-energy imaging with 2D radiographic hardware implemented with scatter removal methods. The multiple-energy system may be extended by implementing DRC multiple energy decomposition and K-edge subtraction imaging methods.

Embodiments of the present invention provide a phantom and radiation detection system (100) comprising a vessel for containing a tissue equivalent liquid and adapted to pass a beam of test radiation into the vessel (110), a detector (140) adapted to determine the intensity of the beam of test radiation, the detector (140) being supported within the vessel (110) and movable therein along an expected path of the beam of test radiation, wherein the detector (140) is a 2-dimensional detector adapted to determine the spatial intensity and energy deposition of the beam.

A method and a corresponding system are provided. The method comprises steps of providing 2D images and subsequently detecting outlines of a primary structure in each of the images. A visual representation of the 2D images is generated and the 2D images are then arranged as 2D slices in a 3D visual representation. To this end, at least two of the 2D images are taken at different imaging angles. The method provides a 3D visual representation of a region of interest comprising a primary structure to support a spatial sense of a user.

A phantom system is disclosed that includes a phantom and at least one removable phantom attachment configured to be attached to the phantom so that the phantom system may have an orientation, location and/or anthropomorphic feature identifiable to an imaging device.

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.

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 tomographic image processing apparatus including a display, an input interface configured to receive an external input, a storage storing an input tomographic image of an object, and at least one processor configured to control the display to display the input tomographic image, determine a material combination to be separated from the input tomographic image, and control the display to display material separation information corresponding to the determined material combination for a region of interest selected in the input tomographic image based on the external input. The input tomographic image is a spectral tomographic image having a plurality of tomographic images respectively corresponding to a plurality of energy levels.

Methods and devices for tracking an x-ray tube focal spot position are described. As successive images are captured by an image capturing system that includes the x-ray tube, the focal spot may change position. To track the change, one or more artificial targets may be arranged relative to the image capturing system such that an initial image is received that includes the artificial targets at a first position in the initial image. A gain map may be generated based on the initial image, and applied to a subsequent image received that also includes the artificial targets to generate a normalized subsequent image. A shift of the artificial targets from the first position in the initial image to a second position in the normalized subsequent image may be identified, where the shift corresponds to the focal spot's position change. Mathematical and/or physical adjustments may be made to correct for the change.