TY - JOUR
T1 - Limited Tomography Reconstruction via Tight Frame and Simultaneous Sinogram Extrapolation
AU - Choi , Jae Kyu
AU - Dong , Bin
AU - Zhang , Xiaoqun
JO - Journal of Computational Mathematics
VL - 6
SP - 575
EP - 589
PY - 2016
DA - 2016/12
SN - 34
DO - http://doi.org/10.4208/jcm.1605-m2016-0535
UR - https://global-sci.org/intro/article_detail/jcm/9814.html
KW - X-ray computed tomography, Limited tomography, Wavelet frame, Data driven
tight frame, Bregmanized operator splitting algorithm, Sinogram extrapolation.
AB - <p style="text-align: justify;">X-ray computed tomography (CT) is one of widely used diagnostic tools for medical and dental tomographic imaging of the human body. However, the standard filtered back-projection reconstruction method requires the complete knowledge of the projection data. In the case of limited data, the inverse problem of CT becomes more ill-posed, which makes the reconstructed image deteriorated by the artifacts. In this paper, we consider two dimensional CT reconstruction using the projections truncated along the spatial direction in the Radon domain. Over the decades, the numerous results including the sparsity model based approach has enabled the reconstruction of the image inside the region of interest (ROI) from the limited knowledge of the data. However, unlike these existing methods, we try to reconstruct the entire CT image from the limited knowledge of the sinogram via the tight frame regularization and the simultaneous sinogram extrapolation. Our proposed model shows more promising numerical simulation results compared with the existing sparsity model based approach.</p>