The present disclosure discloses a calibration method and system for medical imaging. The calibration method comprising: obtaining imaging data; dividing the imaging data into a plurality of patches; and calibrating the imaging data based on one or more target patches of the plurality of patches, wherein the one or more target patches is a part of the plurality of patches.

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

Systems and process are provided to make X-ray radiographs sufficiently quantitative and standardized for bone and other biological material or non-biologic material density evaluations. The X-ray radiograph methodology and system provide a cost effective diagnostic tool that may be used with existing X-ray radiography sources already present in many clinics and hospitals to ultimately produce large volumes of scientifically valid data and useful diagnostic and prognostic information. A calibration bar is added to a conventional X-ray film cartridge and images thereof subsequently incorporated into radiographs for interpretation or a cartridge is designed to integrate a calibration function. The calibration standard affords a standard against which material density is measured. A software program is provided to interpret tissue densities (including bone) to ultimately identify values compared to preselected thresholds.

A detection system for an x-ray or charged particle imaging system utilizes high bandgap, direct conversion x-ray detection materials. The signal of the x-ray/charged particle projection is recorded in a spatial light modulator such as a liquid crystal (LC) light valve. The light valve is then read-out by a polarized light optical microscope and a high speed camera. The camera is used to track the blooming spots in the light valve to resolve their intensity, and relate that intensity of the input x-ray photon or charged particle. This allows of spatially resolved, imaging, x-ray and/or charged particle spectrometer.

The present disclosure relates to a method and a system for computer tomography imaging. The method may comprise obtaining original data; obtaining a preprocessing result by preprocessing the original data; obtaining intensity of the artifact based on the preprocessing result; and updating a damaged channel or the air correction table based on the intensity of the artifact. Updating the air correction table may comprise: obtaining a first air correction table corresponding to a first temperature of detector; obtaining real-time temperature of detector; and obtaining a second air correction table corresponding to the real-time temperature based on the real-time temperature and the first air correction table.

One or more example embodiments provides a method for evaluating an angiographic dual-energy computed tomography dataset recorded using a contrast agent comprising iodine to determine a quantitative calcium score.

A system for imaging an object includes an X-ray source operative to transmit X-rays through the object and a detector to receive the X-ray energy of the X-rays after passing through the object and to generate corresponding object X-ray intensity. The system also includes a controller to measure a detector entrance dose with no object being placed on the X-ray beam path and determine a relationship between an X-ray tube electrical parameter and the detector entrance dose. The controller further determines a relationship between the X-ray tube electrical parameter, the detector entrance dose and a detector average pixel intensity and obtains a normalized air map as a function of the X-ray tube electrical parameter based on calibration image data. The controller also generates an air map based on the normalized air map, the detector entrance dose and the detector average pixel intensity and reconstructs an image of the object based on the air map and the measured object X-ray intensity.

A computer-assisted medical system comprises a fluoroscopic imager having a full scan range in a surgical coordinate space. The system further comprises one or more processors configured to perform a method. The method includes receiving a first fluoroscopic image data set of a patient anatomy. The first fluoroscopic image data set is obtained from the full scan range of the fluoroscopic imager. The method further includes receiving at least one additional fluoroscopic image data set of the patient anatomy from the fluoroscopic imager operating in a constrained range substantially smaller than the full scan range. The method further includes constructing a first planar tomographic image from the first and at least one additional fluoroscopic image data sets.

A calibration method for an x-ray computerized tomography system and a method of tomographic reconstruction are provided. The calibration method includes steps of measuring at least one point spread function (PSF) at each of a plurality of points, compressing each PSF, and in one or more storing operations, storing the compressed PSFs in a computer-accessible storage medium. The PSF measurements are made in a grid of calibration points in a field of view (FOV) of the system. In the measuring step, an absorber is positioned at each of the calibration points, and an x-ray projection is taken at least once at each of those absorber positions. In the method of tomographic image reconstruction, projection data from an x-ray tomographic projection system are input to an iterative image reconstruction algorithm. The algorithm retrieves and utilizes a priori system information (APSI) The APSI comprises comprising point spread functions (PSFs) of all voxels in a voxelization of the field of view that are compressed in the form of vectors of parameters. For utilization, each retrieved vector of parameters is decompressed so as to generate a discretized PSF.

Technology is described for electronically aligning a central ray of an x-ray tube to a radiation detector. In an example, an x-ray system includes an x-ray tube and a tube control unit (TCU). The x-ray tube includes a cathode that includes an electron emitter configured to emit an electron beam, an anode configured to receive the electron beam and generate x-rays with a central ray from electrons of the electron beam colliding on a focal spot of the anode, and a steering magnetic multipole between the cathode and the anode that is configured to produce a steering magnetic field from a steering signal. At least two poles of the steering magnetic multipole are on opposite sides of the electron beam. The TCU includes at least one steering driver configured to generate the steering signal. The TCU is configured to convert an offset value to the steering signal.