The invention relates to an X-ray imaging device including a rotary collimator having a region (22) which is opaque to X-rays, a first slot (24) and a second slot (26), which are transparent to X-rays and extend in two different directions, passing through the opaque region, the collimator making it possible to determine the position of an element provided with X-ray sensors in an imaging system (FIG. 1).

A patient imaging system for creating visual representations for analysis includes an imaging source and a patient support disposed proximate the imaging source configured to receive and support the patient. An imaging device is disposed adjacent to the patient support and incorporates at least one detector, one or more slats cooperating with the at least one detector and a collimator disposed between the one or more slats and patient support having a plurality of links adjustably positionable on the collimator. The plurality of links receive and support imaging plates that may be adjusted to provide a variety of image settings such that the imaging device and imaging source define a pre-determined imaging volume in an imaging region for the patient positioned in the imaging system.

A method and apparatus are provided for positron emission imaging to calibrate timing of a pixelated gamma detector using multi-channel events. The apparatus can include processing circuitry configured to obtain calibration data representing a time and a position at which gamma rays are detected at a plurality of detector elements, and determine which gamma-ray detections of the calibration data correspond to multi-channel detections in which energy of a respective gamma ray is shared and detected by two or more of the plurality of detector elements. Additionally, the processing circuitry can be configured to determine a timing calibration of the plurality of detector elements by optimizing an objective representing agreement between time data of the multi-channel detections in the calibration data and the timing calibration.

A correction X-ray detector according to an embodiment includes a plurality of detector elements configured to detect an X-ray, and processing circuitry. The processing circuitry is configured to acquire a plurality of output values respectively corresponding to the plurality of the plurality of detector elements. The processing circuitry is further configured to determine the detector elements to be used in generating correction data based on the plurality of output values.

A method for normalization of a positron emission tomography (PET) scanner. The PET scanner includes a plurality of blocks. Each of the plurality of blocks includes a plurality of rows. Each of the plurality of rows includes a plurality of actual detectors and an unused area. The method includes acquiring a plurality of lines of response (LORs) by scanning a normalization phantom, obtaining a plurality of actual counts by extracting a plurality of LORs subsets from the plurality of LORs and counting a number of elements in each LORs subset, generating a plurality of virtual detectors in each of the plurality of rows by assigning the unused area to the plurality of virtual detectors, generating a count profile for the plurality of actual detectors, estimating a plurality of virtual counts based on the count profile, and applying a normalization process on the plurality of blocks.

The disclosure relates to a system and method for evaluating and calibrating detector in a scanner, further evaluating and calibrating time information detected by at least one time-to-digital convertor.

Disclosed is a breast imaging system including a compressive sensing absorber (CSA) including a set of materials distributed in a medium to exhibit a random pattern of partial gamma ray absorption over different positions of the set of materials such that gamma ray emission from a breast traveling through the CSA is partially absorbed and is partially scattered by the random pattern to produce an output gamma ray radiation pattern having gamma rays in a range of different directions, a gamma imaging device configured to collect gamma rays from the output gamma ray radiation pattern produced by the CSA to convert the collected gamma rays of the breast gamma ray emission from the breast into imaging signals representing an image of the breast, and an imaging processing device configured to reconstruct images in 2D or 3D based on a spatial distribution of the collected gamma rays from the breast.

The disclosure relates to a system and method for reconstructing a PET image. The method may include: obtaining PET data relating to an object collected by a plurality of detector units; determining functional status of the plurality of detector units; generating reconstruction data based on the functional status of the respective detector units and the PET data; and reconstructing a PET image based on the reconstruction data.

An imaging system based on an imaging device and/or a cooling system is provided. The imaging system may include a control module, an imaging device, and/or a cooling system. The imaging device may include a first portion and a second portion. The cooling system may include a cooling module configured to generate a cooling medium, and/or a cooling medium passage configured to spread the cooling medium. The cooling medium passage may belong to a closed loop. At least part of the cooling system may be located within the imaging device such that the cooling medium may be in direct contact with the at least part of the imaging device.

According to one embodiment, a nuclear medicine diagnostic apparatus includes a counting unit, a region of interest setting unit, a normalization unit, and an image generation unit. The counting unit counts radiation emitted from radioisotopes in an imaging region of an object. The ROI setting unit sets a region of interest (ROI) in the imaging region. The normalization unit determines association between count values and pixel values of display pixels for the ROI in accordance with a distribution of the count values of the display pixels corresponding to the ROI. The image generation unit generates an image of the ROI based on the association between the count values and the pixel values for the ROI.