Huang Y, Taubmann O, Huang X, Lauritsch G, Maier A (2018)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2018
City/Town: Salt Lake City, Utah, the USA
Pages Range: 189-192
Conference Proceedings Title: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography
Event location: Salt Lake City, Utah, the USA
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-PAF.pdf
The Papoulis-Gerchberg (P-G) algorithm is widely
used for extrapolation of band-limited signals. It is applicable to
limited angle tomography as well since typical imaged objects in
computed tomography have a limited spatial extent, which means
that the Fourier transforms of the objects can be considered
band-limited signals. In computed tomography, some other bandlimitation properties have been discovered as well, which are
referred to as data consistency conditions. For example, the
Fourier transform of a parallel-beam sinogram has an empty
double-wedge region. The Chebyshev-Fourier transform of a
parallel-beam sinogram only has nonzero values inside a wedge
region and these values form a checkerboard pattern, which is
Helgason-Ludwig consistency condition. In this paper, we propose
two P-G algorithms to restore missing data in limited angle tomography using the above two consistency conditions. Numerical
experiments on the Shepp-Logan phantom demonstrate that they
can reduce streaks better than the conventional P-G algorithm.
APA:
Huang, Y., Taubmann, O., Huang, X., Lauritsch, G., & Maier, A. (2018). Papoulis-Gerchberg Algorithms for Limited Angle Tomography Using Data Consistency Conditions. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (pp. 189-192). Salt Lake City, Utah, the USA: Salt Lake City, Utah, the USA.
MLA:
Huang, Yixing, et al. "Papoulis-Gerchberg Algorithms for Limited Angle Tomography Using Data Consistency Conditions." Proceedings of the the 5th International Conference on Image Formation in X-ray Computed Tomography, Salt Lake City, Utah, the USA Salt Lake City, Utah, the USA, 2018. 189-192.
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