A method and system for image reconstruction are provided. A projection image of a projection object may be obtained. A processed projection image may be generated based on the projection image through one or more pre-process operations. A reconstructed image including an artifact may be reconstructed based on the processed projection image. The artifact may be a detector edge artifact, a projection object edge artifact, and a serrated artifact. The detector edge artifact, the projection object edge artifact, and the serrated artifact may be removed from the reconstructed image.

A method for image reconstruction may include obtaining projection data D.sub.0 generated by an imaging device by scanning an object at first angles, wherein the first angles may be a subset of second angles. The second angles may include at least short-scan angles for a system to conduct image reconstruction. The method may also include generating an image F.sub.1 based on the projection data D.sub.0. The method may also include determining, based on the image F.sub.1, projection data D.sub.1 corresponding to third angles that are a subset of the second angles and different from the first angles. The method may also include generating a final image associated with the object by performing an iteration process including one or more iterations using initial data including the image F.sub.1, the projection data D.sub.0, and the projection data D.sub.1.

Upon receiving list-mode data by detecting radiation emitted from a radiation source positioned with a field of view of a medical imaging scanner, each photon included in the list-mode data can be classified according to one or more interaction properties, such as energy or number of crystals interacted with. Grouped pairs of photons can be generated based on the classifying, and a corresponding interaction-property-specific correction kernel (e.g., a corresponding interaction-property-specific point spread function correction kernel) can be selected for each group. Corresponding interaction-property-specific correction kernels can then be utilized to generate higher quality images.

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.

A system for monitored tomographic reconstruction, comprising: an x-ray generator configure to generate x-ray beams for scanning an object; detectors configured to capture a plurality of projections for each scan; at least one hardware processor; and one or more software modules that, when executed by the at least one hardware processor, receive the plurality of projections from the detectors and as each of the plurality of projections is received, generate a partial reconstruction, and make a stopping decision with respect to whether or not another projection should be obtained based on a stopping problem and that defines when a reconstructed image quality is sufficient with respect to the expended cost as determined by a stopping rule.

The present disclosure relates to systems and methods for image generation. The methods may include obtaining projection data generated by a scanner; generating, based on a first weighting function, a first image by back-projecting the projection data, the first image having a first region corresponding to a first part of the object; generating, based on a second weighting function, a second image by back-projecting the projection data, the second image having a second region corresponding to the first part of the object, the second region of the second image presenting a better CT number uniformity than the first region of the first image; and generating a third image based on the first image and the second image.

A computer-implemented method comprises: providing at least two exploratory views; segmenting a first object in the at least two exploratory views to determine first two-dimensional object masks; segmenting the second object in the at least two exploratory views tow determine second two-dimensional object masks; determining a first three-dimensional object mask as a function of the first two-dimensional object masks; determining a second three-dimensional object mask as a function of the second two-dimensional object masks; and determining an overlap of the first object and the second object for at least one capture trajectory as a function of the first three-dimensional object mask and the second three-dimensional object mask.

The present invention relates to production of 2D digital images suitable for use in medical imaging. The invention particularly relates to remapping X-ray images taken from a first viewpoint so that they present the same image as seen from a second viewpoint. Remapping is achieved by registering separate 2D images taken from the first and second viewpoints of an area with a 3D scan volume of the same region to ascertain their relative viewpoints with respect to the 3D scan volume. The image taken with respect to the first viewpoint is then remapped to yield the image as seen from the second viewpoint.

In an exemplary embodiment, a tomography device comprises a scanner that obtains image slices. The device additionally comprises at least one processor configured to: perform a Hermetic Transform on the image slices to obtain hermetically transformed data using; filter and perform an Inverse Hermetic Transform on the Hermetic Transform data to obtain filtered inverse Hermetic Transform data; and perform back projection and angle integration on the filtered inverse Hermetic Transform data.

Systems and methods are provided for reconstructing a three-dimensional result image data set from computed tomography from a plurality of two-dimensional images that create an image of an object undergoing examination from a particular imaging angle, The imaging angles of all the images lie within a restricted angular range. A three-dimensional artifact-reduced image data set is provided based on the two-dimensional images using an algorithm for reducing artifacts that are the result of a restriction of the angular range. The result image data set is reconstructed using a reconstruction algorithm that processes both the artifact-reduced image data set and the two-dimensional images as input data.