Abstract: A method for improving quality of an image is described. The method includes reconstructing a first image of a sample volume, segmenting the first image to generate a first region and a second region, reconstructing a second image of the sample volume, and generating a final image from a combination of the segmentation, the first image, and the second image.

Abstract: A system and method include acquisition of a set of image data corresponding to a time period of data acquisition, the set of image data corresponding to a plurality of voxels, wherein each of the plurality of voxels corresponds to a distinct acquisition time within the time period of data acquisition. The system and method further include the modeling of the plurality of voxels as a function of time based on a plurality of kinetic parameters associated therewith and reconstruction of an image from the set of image data based on the modeled plurality of voxels.

Abstract: An improved iterative reconstruction method to reconstruct a first image includes generating an imaging beam, receiving said imaging beam on a detector array, generating projection data based on said imaging beams received by said detector array, providing said projection data to an image reconstructor, enlarging one of a plurality of voxels and a plurality of detectors of the provided projection data, reconstructing portions of the first image with the plurality of enlarged voxels or detectors, and iteratively reconstructing the portions of the first image to create a reconstructed image.

Abstract: A method and system for image reconstruction of data acquired by a device such as computed tomography is provided. The method and system use a multi-stage statistical iterative reconstruction techniques to provide a three dimensional representation of the scanned object. In one embodiment, the first stage uses a projection-based reconstruction technique, such as Ordered Subset (OS) to converge on a solution for low frequency portion of the image. A subsequent stage uses a voxel-based reconstruction technique, such as Iterative Coordinate Descent (ICD), to converge on a solution for high frequency portions of the image. Systems and methods for reconstructing images from incomplete or partial projection data is also provided.

Abstract: Methods and systems for reconstructing an image are provided. The method includes performing a tomographic image reconstruction using a joint estimation of at least one of a gain parameter and an offset parameter, and an estimation of the reconstructed image.

Abstract: A method for filtering a measurement of density of an object is described. The method includes filtering the measurement of the density and preserving a local average of the measurement and additional measurements when performing the filtering.

Abstract: A method and system for image reconstruction of data acquired by a device such as computed tomography is provided. The method and system use a multi-stage statistical iterative reconstruction techniques to provide a three dimensional representation of the scanned object. In one embodiment, the first stage uses a projection-based reconstruction technique, such as Ordered Subset (OS) to converge on a solution for low frequency portion of the image. A subsequent stage uses a voxel-based reconstruction technique, such as Iterative Coordinate Descent (ICD), to converge on a solution for high frequency portions of the image. Systems and methods for reconstructing images from incomplete or partial projection data is also provided.

Abstract: A method for reconstructing an image in a tomographic imaging system is described. The method includes improving a spatial resolution of the image by iteratively reconstructing the image.

Abstract: A friction stir method comprises causing a rotating probe (1) of a friction stir tool to enter a workpiece or a joint between a pair of workpieces (89), the or each workpiece being a low conductivity, high melting point metal or metal alloy. The probe (1) extends from a shoulder (4), or between shoulders, in contact with the workpiece(s) and rotates relative to the or each shoulder.

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 method for improving images of an imaging system including a plurality of detector cells includes assigning a quality factor for each detector cell.

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 of reconstructing an image includes combining a two-dimensional forward projection function and a three-dimensional stabilizing function to generate an iterative reconstruction algorithm, and using the obtained iterative reconstruction algorithm to perform a multislice Computed Tomography (CT) reconstruction to generate an image.

Abstract: A method for reconstructing an image in a tomographic imaging system is described. The method includes improving a spatial resolution of the image by iteratively reconstructing the image.

Abstract: A method of reconstructing an image includes substantially minimizing a cost function of the form x ^ = arg ? ? min x ? { ? m = 0 M ? ? D m ? ( y m , F m ? ( x ) ) + S ? ( x ) } , where {circumflex over (x)} is the value of x which achieves the minimum summation, ym is an integral projection, Fm(x) is an forward projection function, and S(x) is a stabilizing function, to obtain {circumflex over (x)}, and using the obtained {circumflex over (x)} to perform a multislice Computed Tomography (CT) reconstruction to generate an image.

Abstract: A method for calculating an element of a projection includes calculating an element Ai,j of a projection matrix using at least two different rays through a voxel.

Abstract: A method of reconstructing an image includes performing an iterative CT X-ray image reconstruction using a model including a point spread function (PSF) to reconstruct an image.

Abstract: Eviscerated poultry is conveyed upon a shackle through a refrigerated space in a compact configuration for a time sufficient to chill birds so as to cause them to self-retain the compact configuration when delivered to a bird packaging station for packing in the same configuration. The shackle itself has a basket pivotably mounted to a lower portion of a hanger bar and a canopy mounted to an upper portion of the bar.

Abstract: Eviscerated poultry is conveyed upon a shackle through a refrigerated space in a compact configuration for a time sufficient to chill birds so as to cause them to self-retain the compact configuration when delivered to a bird packaging station for packing in the same configuration. The shackle itself has a basket pivotably mounted to a lower portion of a hanger bar and a canopy mounted to an upper portion of the bar.