An apparatus for cone beam computed tomography can include a support structure, a scanner assembly coupled to the support structure for controlled movement in at least x, y and z orientations, the scanner assembly can include a DR detector configured to move along at least a portion of a detector path that extends at least partially around a scan volume with a distance D1 that is sufficiently long to allow the scan volume to be positioned within the detector path; a radiation source configured to move along at least a portion of a source path outside the detector path, the source path having a distance D2 greater than the distance D1, the distance D2 being sufficiently long to allow adequate radiation exposure of the scan volume for an image capture by the detector; and a first gap in the detector path.

Embodiments can provide a medical imaging patient bed with an integrated electronic ruler system, comprising a light strip, mounted to the medical imaging bed; a trough comprising an open end and a closed end, mounted to the medical imaging bed and oriented such that the light strip is bounded by the open end and the closed end of the trough; a laser distance meter attached to the open end of the trough; a microcontroller; and a power source configured to provide power to the light strip, laser distance meter, and microcontroller; wherein the microcontroller is configured to illuminate the light strip after one or more distance measurements are received from the laser distance meter when an object is inserted into the trough; wherein a position of the illumination of the light strip corresponds to the one or more distance measurements received from the laser distance meter.

Systems and methods are disclosed for monitoring a patient by positioning the patient for a predetermined medical mission; sensing biometric and physical conditions of a patient during the mission, and displaying a multimedia interaction with the patient to keep the patient in a predetermined position to improve efficacy of a medical mission.

A medical imaging system for detecting ionizing radiation. The system includes one or more pixilated imagers positioned to acquire patient image data and one or more position sensors positioned to acquire patient position data. Once the patient image data and patient position data are acquired, one or more processors operably connected to each of the one or more pixilated imagers and one or more position sensors calculate a three-dimensional mass distribution based on patient image data and patient position data.

Provided is a medical image imaging apparatus that images a medical image of a breast, including a determination unit configured to determine an insertion state of the breast based on a form of the breast inserted into an imaging area for the medical image from an insertion portion.

A method for repositioning a mobile imaging system includes: a) capturing an image recording of at least one optical marker as a reference variable which is disposed close to an examination and/or treatment area of an object, b) capturing the image recording direction as a further reference variable, c) wherein the capturing mobile imaging system is in a predefined position and/or alignment suitable for image recording, d) detecting a changed and/or non-capturable position of the at least one optical marker and/or a changed and/or non-capturable image recording direction, and e) repositioning the mobile imaging system using a comparison of the reference variables from a) and b) with the respectively corresponding reference variables from d). An image capturing unit and an optical marker are also provided.

A radiolucent mat includes a strap system configured to secure the radiolucent mat to an image receptor, and a body portion extending along orthogonal length and width directions of the body portion and including a top major surface configured to face away from the image receptor. The top major surface includes one or more first visual indicia delineating a region of the top major surface corresponding to an active region of the image receptor. An image receptor assembly includes the radiolucent mat and a radiography image receptor having an active region. The body portion is disposed on the image receptor such that the body portion and the image receptor are substantially coextensive with one another along the length and width directions.

An imaging system includes an x-ray tube head, a support arm, and a compression system coupled to the support arm. The compression system is independently rotatable relative to the x-ray tube head and includes a compression paddle, a support platform, and an x-ray receptor. The imaging system also includes a light assembly coupled to the support arm and disposed above the compression paddle. The light assembly is configured to direct one or more beams of light towards the support platform.

Motion correction of a three-dimensional (3D) image dataset reconstructed from a plurality of two-dimensional (2D) projection images acquired by an X-ray device is provided. In order to acquire the projection images, each of two acquisition assemblies covers an angular range of projection angles, and pairs of projection images of a region under examination are acquired at least substantially simultaneously at each acquisition time instant. For each pair of projection images, at least one marker object lying in the region under examination is automatically localized in order to determine 2D location information. 3D position information about the marker object is determined using acquisition geometries of the respective pair of projection images. Motion information describing a motion profile of the marker object over the acquisition period is ascertained from the position information at different acquisition time instants, and the motion information is used for motion correction of the image dataset.

A framework for sensor-based patient treatment support. In accordance with one aspect, one or more sensors are used to acquire sensor data of one or more objects of interest. The sensor data is then automatically interpreted to generate processing results. One or more actions may be triggered based on the processing results to support treatment of a patient, including supporting medical scanning of the patient.