Abstract:
An x-ray system for use with image-guided medical procedures is programmed to move in a first scan path to acquire cone beam attenuation data from which a three-dimensional digital subtraction angiogram of selected vasculature is reconstructed. The x-ray system is also programmed to move in a second scan path to acquire a series of tomosynthesis images during the inflow of a contrast agent into the selected vasculature. Parametric images are produced from information in the tomosynthesis images which indicate blood perfusion physiology of the tissues served by the vasculature.
Abstract:
A new image reconstruction method is described for CT systems. Reconstruction formulas for general application to any CT system geometry are derived and more specific formulas for two third generation CT system geometries are described. A preferred embodiment of a CT system which employs one of the specific formulas is described.
Abstract:
Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corresponds to a subset of the acquired data that is self-consistent, but inconsistent with other subsets of the acquired data. The image reconstruction includes iteratively minimizing the rank of an image matrix whose columns each correspond to a different image, and in which one column corresponds to a user-provided prior image of the subject. The rank minimization is constrained subject to a consistency condition that enforces consistency between the forward projection of each column in the image matrix and a respective subset of the acquired data that contains data that is consistent with data in the subset, but inconsistent with data not in the subset.
Abstract:
An image reconstruction method for cardiac cone beam CT is provided, in which data acquired as truncated projections using current cardiac flat panel detectors is reconstructed to form a high quality image of a desired cardiac phase. An iterative method is utilized to reconstruct a prior image from all of the acquired truncated data without cardiac gating. Subsequently, a reconstruction method, in which the prior image is utilized in a prior image constrained reconstruction method, is utilized to reconstruct images for each individual cardiac phase. The objective function in such a prior image constrained reconstruction method is modified to incorporate the conditions used in the production of the prior image so that the data truncation problem is properly addressed.
Abstract:
A generalized projection-slice theorem for divergent beam projections is disclosed. The theorem results in a method for processing the Fourier transform of the divergent beam projections at each view acquired by a CT system to the Fourier transform of the object function. Using this method, an inverse Fourier transform may be used to reconstruct tomographic images from the acquired divergent beam projections.
Abstract:
A system and method for creating computed tomography (CT) images includes acquiring or accessing sinogram data and determining a photon count for the sinogram data. The method includes generating unbiased sinogram data from the sinogram data using an unbiased estimator and the photon count and reconstructing a CT image from the unbiased sinogram data.
Abstract:
An image reconstruction method applicable to a number of different imaging modalities including magnetic resonance imaging (MRI), x-ray computed tomography (CT), positron emission tomography (PET), and single photon emission computed tomography (SPECT) is disclosed. A sparsifying image is reconstructed from a series of acquired undersampled data to provide a priori knowledge of a subject being imaged. An iterative reconstruction process is further employed to iteratively determine a correction image for a given image frame that, when subtracted from the sparsifying image, produces a quality image for the image frame.
Abstract:
A tomographic image reconstruction method produces either 2D or 3D images from fan beam or cone beam projection data by filtering the backprojection image of differentiated projection data. The reconstruction is mathematically exact if sufficient projection data is acquired. A cone beam embodiment and both a symmetric and asymmetric fan beam embodiment are described.
Abstract:
Described here is a system and method for image reconstruction that can automatically and iteratively produce multiple images from one set of acquired data, in which each of these multiple images corresponds to a subset of the acquired data that is self-consistent, but inconsistent with other subsets of the acquired data. The image reconstruction includes iteratively minimizing the rank of an image matrix whose columns each correspond to a different image. The rank minimization is constrained subject to a consistency condition that enforces consistency between the forward projection of each column in the image matrix and a respective subset of the acquired data that contains data that is consistent with data in the subset, but inconsistent with data not in the subset.
Abstract:
A method for reconstructing an image of a subject with a medical imaging system is provided. Image data is acquired with the medical imaging system, typically in an undersampled manner. A prior image constrained compressed sensing (PICCS] image reconstruction method is then implemented to reconstruct images of the subject being imaged. The prior image used in such a method is produced from so-called averaged image data. The averaged image data is produced by effectively averaging signal information associated with a plurality of different slice locations along a direction orthogonal to the plane parallel to the slice locations. Weightings are calculated from images reconstructed in a conventional manner from the acquired image data, and these weightings are employed to produce the averaged image data. By producing a prior image in this manner, a higher signal-to-noise ratio is achievable, allowing trade¬ offs with factors such as radiation dose in x-ray imaging.