Abstract: A method and system are provided for iteratively processing an image estimate. In one embodiment, the image estimate is updated with an update image each iteration of processing. In this embodiment, the update image for each iteration is derived based at least in part on a scale image derived from a mask image. The mask image defines a subset of pixels participating in the reconstruction based on an imaged object. The scale image is updated based on a numerator term and a denominator term. The denominator term is based on the mask image. Computer routines for processing image data for processing image data in accordance with these techniques are also provided.

Abstract: Systems and methods are provided for acquiring and reconstructing projection data that is mathematically complete or sufficient using a computed tomography (CT) system having stationary distributed X-ray sources and detector arrays. In one embodiment, a distributed source is provided as arcuate segments offset in the X-Y plane and along the Z-axis.

Abstract: Systems and methods are provided for reconstructing projection data that is mathematically complete or sufficient acquired using a computed tomography (CT) system. In one embodiment, a set of projection data representative of a sampled portion of a cylindrical surface is provided. The set of projection data is reconstructed using a suitable cone-beam reconstruction algorithm. In another embodiment, two or more sets of spatially interleaved helical projection data are processed using helical interpolation. The helically interpolated set of projection data is reconstructed using a two-dimensional axial reconstruction algorithm or a three-dimensional reconstruction algorithm.

Abstract: A technique is provided for imaging a field of view using an X-ray source comprising two or more emission points. Each emission point is configured to emit a fan of radiation encompassing less than the entire field of view. The emission points are activated individually and rotate about the field of view, allowing respective streams of radiation to be emitted at various view angles about the field of view. The emission points, which may correspond to different radial regions of the field of view, may be differentially activated to emphasize a region of interest within the field of view. The multiple emission points may be extrapolated along the longitudinal axis in duplicate or offset configurations.

Abstract: A computed tomography (CT) reconstruction method includes implementing an iterative image reconstruction process for CT metrology of an object, wherein the iterative reconstruction process utilizes accurate forward projection. During each of a plurality of iterations, a reconstructed image is constrained by utilizing prior outer edge information obtained from a modality in addition to CT, and then transformed to a projection domain so as to generate a calculated sinogram. A correction image is determined based on the calculated sinogram and a measured sinogram.

Abstract: A method and system is disclosed that minimizes the effective dose to an object by determining a segmented component map for the object, parametrizing tube current/energy level/x-ray filtration/x-ray pulse width as a function of time, determining a corresponding absorbed dose map and variance map, and determining an energy level/tube current profile or curve that results in a desirable effective dose to the object and a desirable noise variance throughout the image.

Abstract: An adaptive CT data acquisition system and technique is presented whereby radiation emitted for CT data acquisition is dynamically controlled to limit exposure to those detectors of a CT detector assembly that may be particularly susceptible to saturation during a given data acquisition. The data acquisition technique recognizes that for a given subject size and position that pre-subject filtering and collimating of a radiation beam may be insufficient to completely prevent detector saturation. Therefore, the present invention includes implementation of a number of CT data correction techniques for correcting otherwise unusable data of a saturated CT detector. These data correction techniques include a nearest neighbor correction, off-centered phantom correction, off-centered synthetic data correction, scout data correction, planar radiogram correction, and a number of others.

Abstract: An adaptive CT data acquisition system and technique is presented whereby radiation emitted for CT data acquisition is dynamically controlled to limit exposure to those detectors of a CT detector assembly that may be particularly susceptible to saturation during a given data acquisition. The data acquisition technique recognizes that for a given subject size and position that pre-subject filtering and collimating of a radiation beam may be insufficient to completely prevent detector saturation. Therefore, the present invention includes implementation of a number of CT data correction techniques for correcting otherwise unusable data of a saturated CT detector. These data correction techniques include a nearest neighbor correction, off-centered phantom correction, off-centered synthetic data correction, scout data correction, planar radiogram correction, and a number of others.

Abstract: One or more techniques are provided for adapting a reconstruction process to account for the motion of an imaged object or organ, such as the heart. In particular, projection data of the moving object or organ is acquired using a slowly rotating CT gantry. Motion data may be determined from the projection data or from images reconstructed from the projection data. The motion data may be used to reconstruct motion-corrected images from the projection data. The motion-corrected images may be associated to form motion-corrected volume renderings.

Abstract: A method for Computed Tomography (CT) imaging is provided. The method comprises rotating a gantry at a substantially slow rotation speed about a volume of interest. The gantry comprises a combination of X-ray source points. The X-ray source points comprise one or more discrete emission points and an arc of discrete or continuous X-ray source points. The method then comprises obtaining projection data from the combination of X-ray source points and performing a suitable reconstruction based on the projection data obtained from the combination of X-ray source points, to generate one or more reconstructed images.

Abstract: An adaptive CT data acquisition system and technique is presented whereby radiation emitted for CT data acquisition is dynamically controlled to limit exposure to those detectors of a CT detector assembly that may be particularly susceptible to saturation during a given data acquisition. The data acquisition technique recognizes that for a given subject size and position that pre-subject filtering and collimating of a radiation beam may be insufficient to completely prevent detector saturation. Therefore, the present invention includes implementation of a number of CT data correction techniques for correcting otherwise unusable data of a saturated CT detector. These data correction techniques include a nearest neighbor correction, off-centered phantom correction, off-centered synthetic data correction, scout data correction, planar radiogram correction, and a number of others.

Abstract: A method and computer-readable medium for reducing artifacts in image data generated by a computed tomography system is provided. The artifacts are due to the presence of a high density object in a subject of interest. The method comprises receiving measured sinogram data from the computed tomography system. The sinogram data is representative of sinogram elements. The measured sinogram data is reconstructed to generate initial reconstructed image data. Then corrected sinogram data is generated using the measured sinogram data. The corrected sinogram data is iteratively reconstructed to generate an improved reconstructed image data based on a weight measure derived from the measured sinogram data.

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 radiological imaging system includes one or more radiation sources substantially surrounding a desired portion of an imaging volume and configured to emanate a radiation beam from a plurality of individual source positions around the imaging volume, and one or more detectors configured to receive the transmitted radiation beam. At least one of the radiation source and the detector are displaceable to allow an unimpeded path for the radiation beam and to receive the transmitted radiation beam more completely.

Abstract: A technique is provided for imaging a field of view using an X-ray source comprising two or more emission points. Each emission point is configured to emit a fan of radiation encompassing less than the entire field of view. The emission points are activated individually and rotate about the field of view, allowing respective streams of radiation to be emitted at various view angles about the field of view. The emission points, which may correspond to different radial regions of the field of view, may be differentially activated to emphasize a region of interest within the field of view. The multiple emission points may be extrapolated along the longitudinal axis in duplicate or offset configurations.

Abstract: A computed tomography (CT) reconstruction method includes implementing an iterative image reconstruction process for CT metrology of an object, wherein the iterative reconstruction process utilizes accurate forward projection. During each of a plurality of iterations, a reconstructed image is constrained by utilizing prior outer edge information obtained from a modality in addition to CT, and then transformed to a projection domain so as to generate a calculated sinogram. A correction image is determined based on the calculated sinogram and a measured sinogram.

Abstract: A method for refining image data from measured projection data acquired from a computed tomographic scanner is provided. Initially, measured projection data from the computed tomographic scanner is received. The measured projection data is reconstructed to generate initial reconstructed image data. The initial reconstructed image data is partitioned into a plurality of volumes based on image data quality, to generate partitioned reconstructed image data. The plurality of volumes comprise a good image data quality volume and a poor image data quality volume. Then the image data quality of the partitioned reconstructed image data is refined to generate an improved reconstructed image data.

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 method for refining image data from measured projection data acquired from a computed tomographic scanner is provided. Initially, measured projection data from the computed tomographic scanner is received. The measured projection data is reconstructed to generate initial reconstructed image data. The initial reconstructed image data is partitioned into a plurality of volumes based on image data quality, to generate partitioned reconstructed image data. The plurality of volumes comprise a good image data quality volume and a poor image data quality volume. Then the image data quality of the partitioned reconstructed image data is refined to generate an improved reconstructed image data.

Abstract: One or more techniques are provided for adapting a reconstruction process to account for the motion of an imaged object or organ, such as the heart. In particular, projection data of the moving object or organ is acquired using a slowly rotating CT gantry. Motion data may be determined from the projection data or from images reconstructed from the projection data. The motion data may be used to reconstruct motion-corrected images from the projection data. The motion-corrected images may be associated to form motion-corrected volume renderings.