%0 Journal Article
%T Sinogram Interpolation Method for Sparse-Angle Tomography
%A Martti Kalke
%A Samuli Siltanen
%J Applied Mathematics
%P 423-441
%@ 2152-7393
%D 2014
%I Scientific Research Publishing
%R 10.4236/am.2014.53043
%X <p class=\"MsoNormal\">
	<span lang=\"EN-US\">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 </span><span lang=\"EN-US\">on</span><span lang=\"EN-US\"> 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<i> warps</i>, 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 </span><span lang=\"EN-US\">are</span><span lang=\"EN-US\"> extremely sparse and noisy.</span> 
</p>
%K Interpolation
%K Sparse Imaging
%K Tomography
%K Sinogram
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=42776