Sinogram Interpolation Method for Sparse-Angle Tomography

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.