Abstract: Disclosed is a method and apparatus for restoring an image. The method and apparatus may detect boundary information associated with a boundary in an image, generate a reproducing kernel used to restore a hole in the image based on the detected boundary information, estimate hole information using the generated reproducing kernel, and restore the hole based on the estimated hole information.

Abstract: Disclosed is a method and apparatus for restoring an image. The method and apparatus may detect boundary information associated with a boundary in an image, generate a reproducing kernel used to restore a hole in the image based on the detected boundary information, estimate hole information using the generated reproducing kernel, and restore the hole based on the estimated hole information.

Abstract: A method of reconstructing a tomographic image in a medical imaging apparatus includes: acquiring a first image of an object and a second image of the object corresponding to an image to be reconstructed; determining, in the first image, a reference region corresponding to a unit region in the second image; and updating data in the unit region based on data contained in the reference region. Thus, a medical image having both high spatial resolution and high temporal resolution is reconstructed to have substantially reduced artifacts.

Abstract: A method of reconstructing a tomographic image in a medical imaging apparatus includes: acquiring a first image of an object and a second image of the object corresponding to an image to be reconstructed; determining, in the first image, a reference region corresponding to a unit region in the second image; and updating data in the unit region based on data contained in the reference region. Thus, a medical image having both high spatial resolution and high temporal resolution is reconstructed to have substantially reduced artifacts.

Abstract: A method and apparatus for reconstructing an image by generating a scatter-corrected sinogram are provided. In the reconstructed image in which initial scattering is not corrected, an emission position of a photon is determined. A graphics processing unit (GPU) calculates migration of the photon using a Monte-Carlo simulation. A 3-dimensional (3D) line of response (LoR) may be calculated through a position in which the photon reaches a detector. The calculated LoR may be converted into a 3D sinogram form and stored in a prompt sinogram and a scatter-corrected sinogram. A final scatter-corrected sinogram may be generated by adjusting a scale of the scatter-corrected sinogram.

Abstract: A convergence guaranteed image reconstruction method and apparatus that may compute an initial reconstruction image based on a plurality of sinograms, generate a patch-based low rank regularization image based on the initial reconstruction image, and generate a desired reconstruction image by updating the initial reconstruction image based on the patch-based low rank regularization image and an intensity lookup table.

Abstract: A method and apparatus for reconstructing an image by generating a scatter-corrected sinogram are provided. In the reconstructed image in which initial scattering is not corrected, a emission position of a photon is determined. A graphics processing unit (GPU) calculates migration of the photon using a Monte-Carlo simulation. A 3-dimensional (3D) line of response (LoR) may be calculated through a position in which the photon reaches a detector. The calculated LoR may be converted into a 3D sinogram form and stored in a prompt sinogram and a scatter-corrected sinogram. A final scatter-corrected sinogram may be generated by adjusting a scale of the scatter-corrected sinogram.