A system and method are provided for medical imaging that includes acquiring, during a common imaging acquisition process, rotational, x-ray volume image data and x-ray tomosynthesis image data from a subject. The method includes reconstructing a time-resolved three-dimensional (3D) image volume from the rotational, x-ray volume image data and producing a four-dimensional (4D) image series of the subject with resolved overlapping features by selectively combining the time-resolved 3D image volume and the x-ray tomosynthesis imaging data.

The present disclosure provides a system and method for PET image reconstruction. The method may include processes for obtaining physiological information and/or rigid motion information. The image reconstruction may be performed based on the physiological information and/or rigid motion information.

An X-ray CT apparatus is provided which can easily decide on a reconstruction method based on imaging conditions. The X-ray CT apparatus comprises an irradiation unit irradiating a subject with X-rays, a detector configured to detect X-rays transmitted through the subject, and a rotator rotating irradiation unit and detector around the subject, and which generates an image by receiving biological signals of the subject to perform synchronous imaging. A memory stores a threshold value. Processing circuitry calculates, based on imaging conditions related to the synchronous imaging, a detection data amount in which detection data amount detected by the detector is represented by a number of rotations of the rotator, decides, based on the detection data amount and the threshold value, on a reconstruction process for implementation on the detection data, and implements reconstruction processes based on the detection data to generate the image.

Disclosed herein are novel techniques that address blurriness in medical images resulting from motion of a rigid body, such as a patient, relative to the medical scanning equipment by using a motion-correction algorithm for 3D medical images using to two-dimensional projections.

Methods and systems for automated motion correction of nuclear images are disclosed. A method includes receiving a first set of imaging data including a plurality if annihilation events detected during an imaging period and generating a plurality of four-dimensional volumetric images from the imaging data for the imaging period. Each four-dimensional volumetric image includes a target tissue. At least one motion correction is determined for each of the plurality of four-dimensional volumetric images. The at least one motion correction is determined using target tracking data generated for the target tissue over a time period associated with the four-dimensional volumetric image. Corrected image data is generated from the first set of imaging data and the at least one motion correction and at least one static reconstruction image including the target tissue during the imaging period is generated from the corrected image data.

The invention relates to a method for determining the position of an object moving within a body, wherein the body is connected to markers, a movement signal is determined based on the measured movement of the markers, images are taken from the object using a camera or detector, wherein the camera or detector is moved with respect to the object, it is determined from which direction or range of angles or segment the most images corresponding to a predefined cycle of the movement signal are taken, and using at least some or all of the images of the segment containing the most images for a specified movement cycle, an image of the object is reconstructed.

A computerized tomographic image exposure and reconstruction method wherein an object is subjected to irradiation during a relative movement of a source of radiation, saidthe object, and a radiation detector and wherein a digital representation of the radiation image of saidthe object is computed by applying a tomographic reconstruction algorithm to image data read out of the irradiated radiation detector. A number of projection images are generated, each of saidthe projection images being generated by integrating X-ray beams continuously emitted during saidthe relative movement through a predefined movement path, and the created projection images are modeled in a tomographic reconstruction algorithm.

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.

Systems and methods for generating one or more denoised images from a series of noisy images acquired with a medical imaging system are described. In general, the systems and methods described here implement techniques whereby the series of noisy images are formed into a spatial-temporal or spatial-spectral image matrix in which each column represents a different noisy image. The image matrix is then processed to decompose the image matrix into basis images defined by a spatial and a temporal or spectral basis. Low rank solutions are enforced and extracted from the resulting decomposed image matrix as denoised images.

A tomography imaging apparatus is provided, including: a data acquisition unit configured to acquire a plurality of partial data respectively corresponding to a plurality of consecutive angular sections by performing a tomography scan on a moving object; and an image processing unit configured to measure global motion of the object and motion of a first region in the object based on the plurality of partial data, acquire first information representing motion of the object by reflecting the global motion in the motion of the first region, and reconstruct a final tomography image representing the object based on the first information.