A computer-implemented method of image reconstruction can comprise acquiring projection data of a region of a patient. The projection data comprising one or more projections representing measured ray intensities of attenuated rays of radiation emitted from a radiation source, passed through the patient, and detected at a detector. The detector and the radiation source are rotated about an isocentre. The method can further comprise performing opposing projection data correction to obtain modified projection data. The opposing projection data correction comprising modification of the measured ray intensities for projection data acquired at substantially 180 degrees offsets about the isocentre. The method can further comprise running an image reconstruction process on the modified projection data to obtain an image of the region of the patient.

A computer-implemented method of reducing scatter in an X-ray projection image of an object comprises: generating an initial X-ray projection image with an imaging beam and an X-ray detector; based on a first position in a detector array of the X-ray detector, selecting a first kernel for convolution of a first portion of the initial projection image, wherein the first position corresponds to the first portion of the initial projection image; based on a second position in the detector array of the X-ray detector, selecting a second kernel for convolution of a second portion of the initial projection image, wherein the second position corresponds to the second portion of the initial projection image; convolving the first portion with the first kernel and the second portion with the second kernel to generate a scatter component of the initial X-ray projection image; and generating a corrected X-ray projection image by removing the scatter component from the initial X-ray projection image.

A system and method for acquiring in vivo tomographic X-ray scatter data for tissue discrimination of breast tissue. The system includes a coded aperture for spatially encoding X-ray scatter originating from within a patient's breast. Detectors record the modulated scatter signal, which is used to reconstruct a spatially resolved estimate of the X-ray scatter spectra which can then be used to generate spatially resolved tissue type estimates for the user.

A system for PET image reconstruction is provided. The system may obtain PET data of a subject. The PET data may be associated with a plurality of coincidence events, which includes scattering events. The system may also generate a preliminary scatter sinogram relating to the scattering events based on the PET data. The system may also generate a target scatter sinogram relating to the scattering events by applying a scatter sinogram generator based on the preliminary scatter sinogram. The target scatter sinogram may have a higher image quality than the preliminary scatter sinogram. The system may further reconstruct a target PET image of the subject based on the PET data and the target scatter sinogram.

The present disclosure provides methods and systems for image reconstruction. The methods may include: obtaining background coincidence event data and target coincidence event data, the background coincidence event data being related to a first plurality of background coincidence events, the target coincidence event data being related to a target object; obtaining a target normalization correction factor; correcting the target coincidence event data based on the target normalization correction factor; and generating a target image by performing image reconstruction based on the background coincidence event data and the corrected target coincidence event data.

The present disclosure relates to a positron emission computed tomography (PET) imaging method, a device, a storage medium, and a product. The method includes: determining a target coincidence event of a to-be-detected object; and performing image reconstruction based on the PET raw data corresponding to the target coincidence event, to obtain a reconstructed image of the to-be-detected object.

A method comprises: receiving computed tomography measurement data with sets of measurement values, wherein a set corresponds to a detector element readout of the measurement data including measurement values from at least two different x-ray spectra; determining an error estimate per set of measurement values; defining a replacement reference value per set of measurement values; applying a function that maps the measurement values to corrected values, the corrected values being between the mapped measurement value and the replacement reference value of the respective set, such that for larger errors the corrected value is closer to or at the replacement reference value and for smaller errors the corrected value is closer to or at the measurement value; and reconstructing computed tomography image data based on the corrected values.

Provided are an image acquisition method, an imaging system, calibration equipment and a storage medium. The image acquisition method includes: acquiring a projection image formed by an imaging beam passing through a barrier array plate; acquiring scattered sampling points corresponding to the barrier posts in the projection image; interpolating a vacancy between every adjacent scattered sampling points to obtain interpolated sampling points; and acquiring a scattering distribution map corresponding to the projection image based on the scattered signals of the scattered sampling points and of the interpolated sampling points.

Embodiments of the present disclosure provide a method, a system, and a medium for attenuation correction. The method includes obtaining radiological coincidence event data of a target object using an imaging device; obtaining transmission data related to the target object; and obtaining an attenuation-corrected radiological image by performing an attenuation correction and reconstruction based on the transmission data and the radiological coincidence event data.

A method of identifying prompt gamma rays by triple-photon detection is disclosed. The method involves using two annihilation photons and a prompt gamma photon to determine the direction of the corresponding prompt gamma ray.