Abstract: A system and method for ascertaining the identity of an object within an enclosed article. The system includes an acquisition subsystem utilizing a stationary radiation source and detector, a reconstruction subsystem, a computer-aided detection (CAD) subsystem, and a 2D/3D visualization subsystem. The detector may be an energy discriminating detector. The acquisition subsystem communicates view data to the reconstruction subsystem, which reconstructs it into image data and communicates it to the CAD subsystem. The CAD subsystem analyzes the image data to ascertain whether it contains any area of interest. Any such area of interest data is sent to the reconstruction subsystem for further reconstruction, using more rigorous algorithms and further analyzed by the CAD subsystem. Other information, such as risk variables or trace chemical detection information may be communicated to the CAD subsystem to be included in its analysis.

Abstract: A photon-counting detector includes a direct conversion material constructed to directly convert an energy of at least one incident photon to an electrical signal indicative of the energy level of the at least one individual photon and a data acquisition system (DAS). The DAS includes a first comparator having a first signal level threshold that is less than an electrical signal level that is indicative of a maximum energy of a spectrum of photons, the first comparator configured to output a count when the electrical signal level exceeds the first signal level threshold, and a second comparator having a second signal level threshold that is greater than or equal to the electrical signal level indicative of the maximum energy of the spectrum of photons, the second comparator configured to output a count when the electrical signal exceeds the second signal level threshold.

Abstract: A method for extracting information of a cardiac cycle from projection data is presented. The method provides for acquiring one or more sets of computed tomography (CT) projection data. Further, the method includes analyzing the one or sets of CT projection data to obtain a center of cardiac mass. Also, the method provides for estimating raw motion data representative of the motion of the center of cardiac mass from the one or more sets of CT projection data. In addition, the method includes processing the center of mass through time to extract a motion signal from the raw projection data. Also, the method provides for extracting the periodicity information from the motion signal.

Abstract: A CT system in an example comprises one or more high frequency electromagnetic energy sources, a detection assembly, a data acquisition system (DAS), and a computer. The one or more high frequency electromagnetic energy sources emit one or more beams of high frequency electromagnetic energy toward an object to be imaged. The detection assembly is capable of measuring a plurality of projection data at a same projection path that corresponds to a plurality of distinct incident energy spectra. The detection assembly comprises one or more energy discriminating (ED) detectors and/or one or more energy integration (EI) detectors that receive high frequency electromagnetic energy emitted by the one or more high frequency electromagnetic energy sources. The data acquisition system (DAS) is operably connected to the one or more ED detectors and/or the one or more EI detectors. The computer is operably connected to the DAS.

Abstract: A method of improving a resolution of an image using image reconstruction is provided. The method includes acquiring scan data of an object and forward projecting a current image estimate of the scan data to generate calculated projection data. The method also includes applying a data-fit term and a regularization term to the scan data and the calculated projection data and modifying at least one of the data fit term and the regularization term to accommodate spatio-temporal information to form a reconstructed image from the scan data and the calculated projection data.

Abstract: A CT system includes a rotatable gantry having an opening for receiving an object to be scanned, at least one x-ray source coupled to the gantry and configured to project x-rays toward the object, a detector coupled to the gantry and having a scintillator therein and configured to receive x-rays that pass through the object, and a generator configured to energize the at least one x-ray source.

Abstract: A CT imaging system includes a rotatable gantry having an opening to receive an object to be scanned, a first x-ray emission source attached to the rotatable gantry and configured to emit x-rays toward the object, and a second x-ray emission source attached to the rotatable gantry and configured to emit x-rays toward the object. A first detector is configured to receive x-rays that emit from the first x-ray emission source, and a second detector configured to receive x-rays that emit from the second x-ray emission source. A first portion of the first detector is configured to operate in an integration mode and a first portion of the second detector is configured to operate in at least a photon-counting mode.

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 new method extends iterated coordinate descent (“ICD”)—an optimization method employed in some statistical reconstruction algorithms—to handle material decomposition (“MD”) for energy discriminating computed tomography (“EDCT”) acquisitions.

Abstract: A method, system, and machine readable media are provided for correcting scatter in an image. The method comprises sequentially emitting radiation from a subset of radiation sources toward a detector array and measuring radiation on areas of the detector array not exposed to the emitted primary radiation at the time of measurement. Scatter is estimated from the measured radiation. Furthermore, the scatter estimates are subtracted from the measured data and images with improved image quality are reconstructed.

Abstract: A method for iteratively reconstructing image data acquired by a computed tomography system is provided. The method comprises generating a calculated sinogram from an image estimate and generating an error sinogram based on the calculated sinogram and a measured sinogram. Then, one or more backprojections are performed, each based upon a reconstruction parameter. The reconstruction parameter impacts at least one of convergence speed and computational cost of each iterative step and corresponding reconstruction. A filtering step is performed prior to performing the one or more backprojections. Finally, the initial image is updated by adding corresponding results of the one or more backprojections to the image estimate to obtain the reconstructed image.

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 method for reconstructing cone-beam projection data is provided. The method comprises scanning an object in helical mode, wherein the scanning comprises obtaining cone-beam projection data. The method further comprises processing the cone-beam projection data along a plurality of data filtering curves. The processing includes processing the cone-beam projection data along a portion of the data filtering curves that extends outside of a physical detector area to a virtual detector area. Then, the method comprises using the processed cone-beam projection data in the generation of a reconstructed image of the object.

Abstract: A method for reconstructing an image of an object, the image comprising a plurality of image elements, is disclosed. The method includes accessing image data associated with the plurality of image elements, applying a first algorithm to the plurality of image elements, selecting a spatially non-homogenous set of the plurality of image elements, and applying an iterative algorithm to the set of image elements to reduce an amount of time necessary for reconstructing the image, or to improve an image quality at a fixed computation time, or both.

Abstract: A method for reconstructing image data acquired by a computed tomography system is provided. The method comprises selecting a portion of image data to be reconstructed and determining a corresponding portion of projection data. An adaptive filter is computed and applied to the portion of projection data to generate a portion of adaptively-filtered projection data. The adaptive filter is computed based upon desired quality properties of the portion of image data. Finally, the portion of image data is reconstructed based upon the portion of adaptively-filtered projection data. The step of selecting, computing and reconstructing is repeated for every pixel or group of pixels comprising the image data.

Abstract: A method for acquiring an image data set comprising energy integrating (EI) and energy discriminating (ED) data measurements is provided. The method comprises obtaining EI measurement data and ED measurement data during an acquisition cycle. The method then comprises combining the EI measurement data and the ED measurement data before, during or after reconstruction. Finally the method comprises performing reconstruction on the original or combined datasets to obtain one or more of an EI image and one or more ED component images.

Abstract: A CT system in an example comprises one or more high frequency electromagnetic energy sources, a detection assembly, a data acquisition system (DAS), and a computer. The one or more high frequency electromagnetic energy sources emit one or more beams of high frequency electromagnetic energy toward an object to be imaged. The detection assembly is capable of measuring a plurality of projection data at a same projection path that corresponds to a plurality of distinct incident energy spectra. The detection assembly comprises one or more energy discriminating (ED) detectors and/or one or more energy integration (EI) detectors that receive high frequency electromagnetic energy emitted by the one or more high frequency electromagnetic energy sources. The data acquisition system (DAS) is operably connected to the one or more ED detectors and/or the one or more EI detectors. The computer is operably connected to the DAS.

Abstract: Various configurations for scatter reduction and control are provided for CT imaging. These configurations include an imaging system having a stationary detector extending generally around a portion of an imaging volume and a distributed X-ray source placed proximal to the stationary detector for radiating an X-ray beam toward the stationary detector. A scatter control system is further provided that is configured to adaptively operate in cooperation with the stationary detector and the distributed X-ray source to focally align collimator septa contained therein to the X-ray beam at a given focal point and to provide X-ray beam scatter control.

Abstract: A method and system are provided for processing an acquired image signal in parallel to generate a reconstructed image signal. In one embodiment, a processing component is provided comprising one or more field-programmable gate arrays configured as co-processors. Other aspects of the present technique provide a pipelined processor configured to forward- and back-project image data using the same data path and arithmetic units.

Abstract: A method for reconstructing image data from acquired tomographic projection data measurements is provided. The projection data measurements comprise one or more missing data measurements. The method comprises generating a coarse-resolution projection data set from the acquired projection data measurements and performing an iterative reconstruction on the coarse-resolution projection data set to generate a coarse-resolution reconstructed data set. Then, the method comprises reprojecting the coarse-resolution reconstructed data set to obtain one or more estimates for the one or more missing data measurements. The one or more estimated missing data measurements are then recombined with the acquired projection data measurements, to generate a recombined data set. Then, a direct reconstruction algorithm is applied to the recombined data set to generate the reconstructed image data.