Abstract: The system and method of the invention pertains to automated analysis and reconstruction of images from a plurality of imaging devices to determine the presence of different types of artifacts, using signal processing and machine learning algorithms. The method (1) classifies the artifacts according to their cause, (2) selects correction algorithms to address the artifact, or artifact-generating data, and (3) selects the data or sections of the data and/or reconstruction parameters to be corrected. Then, another reconstruction is performed with the selected artifact corrections, yielding a second reconstructed image with less artifact content. The process can be applied iteratively until the artifact content of the reconstructed image is reduced to a satisfactory low level as determined by a user. If the artifacts cannot be addressed by data processing means, the method initiates or recommends alternative artifact management actions.

Abstract: Reconstructing under-sampled PCT data includes obtaining under-sampled scan data of a subject-under-test, the object scan performed on a phase contrast computed tomography (PCT) system, performing a regularized Fourier analysis on the under-sampled scan data, correcting for one or more PCT system contributions to the under-sampled scan data by dividing the computed Fourier coefficients by Fourier coefficients representative of the one or more PCT system contributions, obtaining at least one of an absorption sinogram, a differential phase sinogram, and a dark field sinogram from the corrected Fourier coefficients, and performing tomographic reconstruction on the obtained absorption sinogram, the obtained differential phase sinogram, and the obtained dark field sinogram. A system and non-transitory computer readable medium are also disclosed.

Abstract: Reconstructing under-sampled PCT data includes obtaining under-sampled scan data of a subject-under-test, the object scan performed on a phase contrast computed tomography (PCT) system, performing a regularized Fourier analysis on the under-sampled scan data, correcting for one or more PCT system contributions to the under-sampled scan data by dividing the computed Fourier coefficients by Fourier coefficients representative of the one or more PCT system contributions, obtaining at least one of an absorption sinogram, a differential phase sinogram, and a dark field sinogram from the corrected Fourier coefficients, and performing tomographic reconstruction on the obtained absorption sinogram, the obtained differential phase sinogram, and the obtained dark field sinogram. A system and non-transitory computer readable medium are also disclosed.

Abstract: Aspects of the invention relate to generating an emission activity image as well as an emission attenuation map using an iterative updation based on both the raw emission projection data and the raw radiography projection data, and an optimization function. The outputs include an optimized emission activity image, and at least one of an optimized emission attenuation map or an optimized radiography image. In some aspects an attenuated corrected emission activity image is obtained using the optimized emission activity image, and the optimized emission attenuation map.

Abstract: An image reconstruction method for differential phase contrast imaging includes receiving data corresponding to a signal produced by an X-ray detector and corresponding to X-rays that passed through a subject and a grating system to reach the X-ray detector. The method also includes performing a fringe analysis on the received data. The fringe analysis includes a non-integer fringe fraction correction utilizing one or more adapted basis functions in the Fourier domain to determine one or more Fourier coefficients. A differential phase image of the subject is generated by utilizing the one or more Fourier coefficients.

Abstract: An image reconstruction method for differential phase contrast imaging includes receiving data corresponding to a signal produced by an X-ray detector and corresponding to X-rays that passed through a subject and a grating system to reach the X-ray detector. The method also includes performing a fringe analysis on the received data. The fringe analysis includes a non-integer fringe fraction correction utilizing one or more adapted basis functions in the Fourier domain to determine one or more Fourier coefficients. A differential phase image of the subject is generated by utilizing the one or more Fourier coefficients.

Abstract: A CT imaging system includes a rotatable gantry having an opening to receive an object to be scanned. A plurality of x-ray emission sources are attached to the rotatable gantry, each x-ray emission source configured to emit x-rays in a conebeam toward the object. The CT imaging system also includes a plurality of x-ray detector arrays attached to the gantry and positioned to receive x-rays passing through the object. At least one x-ray detector array of the plurality of x-ray detector arrays is configured to receive x-rays from more than one x-ray emission source.

Abstract: A CT imaging system includes a rotatable gantry having an opening to receive an object to be scanned. A plurality of x-ray emission sources are attached to the rotatable gantry, each x-ray emission source configured to emit x-rays in a conebeam toward the object. The CT imaging system also includes a plurality of x-ray detector arrays attached to the gantry and positioned to receive x-rays passing through the object. At least one x-ray detector array of the plurality of x-ray detector arrays is configured to receive x-rays from more than one x-ray emission source.