The present invention relates to a method of generating one or more skeletal characteristic values of a subject from a planar bone image, comprising identifying one or more regions of interest (ROIs) in the planar bone image and performing one or more feature analyses on the regions of interest to generate the skeletal characteristic values. The generated characteristic values correspond to the bone quality of the subject, and may be used to evaluate the overall bone status and future fracture risk.

A therapeutic apparatus includes an image capturing mechanism and a mechanical arm, and further includes a calibration plate on which a calibration plane is defined. The mechanism includes reference plate and image capturing element with adjustable capturing direction, the capturing element is opposite to and spaced apart from reference plate, and a surface of reference plate facing the capturing element is defined as reference plane. The arm includes a body, a fixed end and an operating end, the fixed and operating ends are located at different positions of the body, respectively, the body is fixed to mounting base through fixed end, the calibration plate is arranged at operating end, and the body is driven to move operating end to a position between capturing element and reference plate such that the calibration plate is parallel to calibration plane and reference plane.

An imaging system is disclosed to include an elongate member supported by a plurality of wheels, where the elongate member is extendable in a horizontal axis such that a distance between two of the plurality of wheels is increased when the elongate member is extended in the horizontal axis; a trolley slidably secured to the elongate member, where the trolley includes a base portion and an upper portion. The base portion moves in the horizontal axis along the elongate member and the upper portion is rotatably mounted to the base portion, where the upper portion is configured to rotate at least 90 degrees relative to the base portion and elongate member.

In one aspect of the invention a system and method is claimed for providing model parameters for three dimensional fabrication of anatomical structures by obtaining and reconstructing three dimensional image data with a medical imager wherein imaging acquisition parameters of the imaging system and/or reconstruction input parameters of the reconstructor are optimized for maximum geometry precision. Advantageously, the imaging system is further configured to obtain material and/or functional information of the anatomical structure model and that material information is used to incorporate the material information in the anatomical model.

A multi-axis imaging system comprising an imaging gantry with an imaging axis extending through a bore of the imaging gantry, a support column that supports the imaging gantry on one side of the gantry in a cantilevered manner, and a base that supports the imaging gantry and the support column. The imaging system including a first drive mechanism that translates the gantry in a vertical direction relative to the support column and the base, a second drive mechanism that rotates the gantry with respect to the support column between a first orientation where the imaging axis of the imaging gantry extends in a vertical direction parallel to the support column and a second orientation where the imaging axis of the gantry extends in a horizontal direction parallel with the base, and a third drive mechanism that translates the support column and the gantry in a horizontal direction along the base.

Various implementations include a device for positioning a knee during an x-ray. The device includes a first portion, a second portion, and a foot plate. The first portion has a first surface, a second surface spaced apart from the first surface, a first edge extending between the first surface and the second surface, and a second edge spaced apart from the first edge. The second portion has a first surface, a second surface spaced apart from the first surface, a first edge extending between the first surface and the second surface, and a second edge spaced apart from the first edge. The first edge of the first portion is rotatably coupled to the second edge of the second portion. The foot plate is coupled to the first surface of the first portion.

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.

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.

An apparatus and method to obtain input projection data based on radiation detected at a plurality of detector elements, reconstruct plural uncorrected images in response to applying a reconstruction algorithm to the input projection data, segment the plural uncorrected images into two or more types of material-component images by applying a deep learning segmentation network, generate output projection data corresponding to the two or more types of material-component images based on a forward projection, generate corrected multi material-decomposed projection data based on the generated output projection data corresponding to the two or more types of material-component images, and reconstruct the multi material-component images from the corrected multi material-decomposed projection data to generate one or more corrected images. In some embodiments, the plural uncorrected images are segmented into three or more types of material-component images by applying a deep learning segmentation network and beam hardening correction is performed for the three or more materials.

The present disclosure relates to the generation of partial surface models from volumetric datasets for subsequent registration of such partial surface models to surface topology datasets. Specifically, given an object that is imaged using surface topology imaging and another volumetric modality, the volumetric dataset is processed in combination with an approach viewpoint to generate one or more partial surfaces of the object that will be visible to the surface topology imaging system. This procedure can eliminate internal structures from the surfaces generated from volumetric datasets, thus increases the similarity of the dataset between the two different modalities, enabling improved and quicker registration.