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S. Ha, S. Matej, M. Ispiryan and K. Müller, “GPU-Accelerated Forward and Backward Projection with Spatially Varying Kernels in 3D DIRECT TOF PET Reconstruction,” IEEE Transactions on Nuclear Science, Vol. 60, No. 1, 2013, pp. 166-173.

has been cited by the following article:

• TITLE: Sinogram Interpolation Method for Sparse-Angle Tomography

  AUTHORS: Martti Kalke, Samuli Siltanen

  KEYWORDS: Interpolation; Sparse Imaging; Tomography; Sinogram

  JOURNAL NAME: Applied Mathematics, Vol.5 No.3, February 12, 2014

  ABSTRACT: In sparse-angle X-ray tomography reconstruction, where only a small number of projection images are taken around the object, appropriate sinogram interpolation has a significant impact on image quality. A novel sinogram interpolation method is introduced for extreme sparse tomographic reconstruction where only nine measured projection images are available. The sinogram is interpolated by solving characteristics of the so-called warps, which can be considered as approximation sine waves in a limited region. The numerical evidence suggests that this approach gives superior results over standard interpolation methods when the tomographic data are extremely sparse and noisy.