A method for volumetric image reconstruction of data collected from a plurality of radiation beams emitted from axially offset positions includes receiving projection data from at least two radiation beams emitted from axially offset positions, defining a first boundary between a first region irradiated only by a first beam of the at least two radiation beams and a second region irradiated by both the first beam and a second beam of the at least two radiation beams, defining a weighting function as a function of the first boundary, and reconstructing a volumetric image from the data that is weighted with the weighting function. Each beam moves on a circular trajectory and radiates at a plurality of view angles over the circular trajectory.

An imaging system includes a sensor configured to receive imaging data, where the imaging data comprises k-space data from a magnetic resonance imaging (MRI) scan of a patient. The imaging system also includes a processor operatively coupled to the sensor and configured to identify a degree of interaction between measured points of the k-space data located at a radius from a center of k-space. The processor is also configured to determine, based at least in part on the degree of interaction between the measured points, density weights for a density compensation filter. The processor is also configured to apply the density compensation filter to the k-space data to generate filtered k-space data. The processor is further configured to generate an MRI image of the patient based at least in part on the filtered k-space data.

An imaging system includes a computed tomography (CT) acquisition unit and at least one processor. The CT acquisition unit includes an X-ray source and a CT detector configured to collect CT imaging data of an object. The at least one processor is operably coupled to the CT acquisition unit, and configured to reconstruct an initial image using the CT imaging information, the initial image including at least one object representation portion and at least one artifact portion; identify at least one region of the initial image containing at least one artifact and isolate the at least one artifact by analyzing the initial image using an artifact dictionary and a non-artifact dictionary, the artifact dictionary including entries describing corresponding artifact image portions, the non-artifact dictionary including entries defining corresponding non-artifact image portions; and remove the at least one artifact from the initial image to provide a corrected image.

When a group of (pre-processed) projection data is stored into a projection-data storage unit, a Gaussian-based expansion-data creating unit creates a group of Gaussian-based expansion data that is expanded from each of the group of projection data through linear combination based on a plurality of Gaussian functions that is stored by a Gaussian-function storage unit and has different center points. A reconstruction-image creating unit then creates a reconstruction image by using the Gaussian-based expansion-data created by the Gaussian-based expansion-data creating unit, and stores the created reconstruction image into an image storage unit.

The present invention is an X-ray system having a source-detector module, which includes X-ray sources and detectors, for scanning an object being inspected, a scan engine coupled to the source-detector module for collecting scan data from the source detector module, an image reconstruction engine coupled to the scan engine for converting the collected scan data into one or more X-ray images, and a scan controller coupled with at least one of the source detector module, the scan engine, and the image reconstruction engine optimize operations of the X-ray system.

A device for generating one or more images of a source distribution of a gamma radiation field in the near and far field can include a detector system that includes several synchronized detectors for detecting radiation, system electronics that registers coincidence events, a data acquisition system that stores the measurement data of the coincidence events, and an analysis unit that performs an image reconstruction, which reconstructs one or more images of the source distribution of the radiation field.

An extra-oral dental imaging system comprises an X-ray source (102) and an imaging device (101) suitable for producing multiple frames during at least part of an exposure of an object (200), the imaging device (101) being displaced along a scanning direction (X). A method for creating a cephalometric image of a human skull comprises a step of setting said imaging device (101) with an active area having in an imaging plane a width extending along said scanning direction (X), said width varying along a height direction perpendicular to said scanning direction (X); a step of synchronously displacing the X-ray source (102) and the imaging device (101) along said exposure profile; and a step of registering multiple frames produced by the imaging device (101) during the exposure of said object (200) to be imaged. Using for creating a cephalometric image by digital tomosynthesis.

The disclosure relates to a system and method for determining and pre-fetching projection data in image reconstruction. The method may include: determining a sequence of a plurality of pixels including a first pixel and a second pixel relating to the first pixel; determining a first geometry calculation used for at least one processor to access a first set of projection data relating to the first pixel from a first storage; determining a second geometry calculation based on the first geometry calculation; determining a first data template relating to the first pixel and a second data template relating to the second pixel based on the second geometry calculation; and pre-fetching a second set of projection data based on the first data template and the second data template, from a storage.

Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corresponds to a subset of the acquired data that is self-consistent, but inconsistent with other subsets of the acquired data. The image reconstruction includes iteratively minimizing the rank of an image matrix whose columns each correspond to a different image, and in which one column corresponds to a user-provided prior image of the subject. The rank minimization is constrained subject to a consistency condition that enforces consistency between the forward projection of each column in the image matrix and a respective subset of the acquired data that contains data that is consistent with data in the subset, but inconsistent with data not in the subset.

Methods and systems are provided for medical imaging systems. In one embodiment, a method for a medical imaging system comprises acquiring emission data during a positron emission tomography (PET) scan of a patient, reconstructing a series of live PET images while acquiring the emission data, tracking motion of the patient during the acquiring by determining a per-voxel variation for selected voxels in a current live PET image of the series of live PET images, and outputting an indication of patient motion based on the per-voxel variation for the selected voxels in each live PET image. In this way, patient motion during the scan may be identified and compensated for via scan acquisition and/or data processing adjustments, thereby producing a diagnostic PET image with reduced motion artifacts and increased diagnostic quality.