摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
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.
摘要:
A method for improving images of an imaging system including a plurality of detector cells includes assigning a quality factor for each detector cell.
摘要:
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.
摘要:
A multi-slice computed tomography imaging system is provided including a source that generates an x-ray beam and a detector array that receives the x-ray beam and generates projection data. A translatable table has an object thereon and is operable to translate in relation to the source and the detector array. The source and the detector array rotate about the translatable table to helically scan the object. An image reconstructor is electrically coupled to the detector array and reconstructs an image in response to the projection data using a computed tomography modeled iterative reconstruction technique. The iterative reconstruction technique includes determining a cross-section reconstruction vector, which approximately matches the projection data via a computed tomography model. Methods for performing the same are also provided including accounting for extended boundary regions.
摘要:
An imaging system is provided including a source generating an x-ray beam and a detector array receiving the x-ray beam and generating projection data corresponding to at least a scanned portion of an object. An image reconstructor is electrically coupled to said detector array and reconstructs an image of the scanned portion of the object for a full field-of-view in response to said projection data using a dual iterative reconstruction technique. The dual iterative reconstruction technique includes reconstructing the full field-of-view using a first resolution and reconstructing a region-of-interest within the full FOV using a second resolution. A method is also provided for reconstructing an image using projection data from such an imaging system.
摘要:
A method is provided for reconstructing an image of an object that includes image elements. The method includes accessing measurement data associated with the image elements, introducing an auxiliary variable to transform an original problem of reconstructing the image to a constrained optimization problem, and solving the constrained optimization problem using a method of multipliers to create a sequence of sub-problems and solve the sequence of sub-problems. Solving the sequence of sub-problems includes reconstructing the image by optimizing a first objective function. The first objective function is optimized by iteratively solving a nested sequence of approximate optimization problems. An inner loop iteratively optimizes a second objective function approximating the first objective function. An outer loop utilizes the solution of the second objective function to optimize the first objective function.