Huang Y, Taubmann O, Huang X, Hornegger J, Lauritsch G, Maier A (2017)
Publication Language: English
Publication Type: Conference contribution, Original article
Publication year: 2017
Pages Range: 90-93
Conference Proceedings Title: The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Event location: Xi'an, China
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-ROM.pdf
In limited angle tomography, only a limited angular
range of data is acquired and consequently a double wedge-shaped region in the frequency domain representation of the
imaged object is missing. Hence, streak artifacts occur. To restore
the missing data, we perform a regression and an image fusion
in sinogram domain and frequency domain, respectively. We
first convert the sinogram restoration problem into a regression
problem based on the Helgason-Ludwig consistency conditions.
Due to the severe ill-posedness of the problem, regression only
partially recovers the correct frequency components, especially
lower frequency components, and will introduce erroneous ones,
particularly higher frequencies. Bilateral filtering is utilized to
retain the most prominent high frequency components and
suppress erroneous ones. A fusion of the filtered image and
the image reconstructed from the limited angle sinogram is
performed afterwards in the frequency domain. The proposed
method is evaluated on the Shepp-Logan phantom, for which
the root-mean-square error of the reconstructed image decreases
from 310 HU to 136 HU.
APA:
Huang, Y., Taubmann, O., Huang, X., Hornegger, J., Lauritsch, G., & Maier, A. (2017). Restoration of Missing Data in Limited Angle Tomography Based on Consistency Conditions. In Ge Wang and Xuanqin Mou (Eds.), The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine (pp. 90-93). Xi'an, China.
MLA:
Huang, Yixing, et al. "Restoration of Missing Data in Limited Angle Tomography Based on Consistency Conditions." Proceedings of the The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Xi'an, China Ed. Ge Wang and Xuanqin Mou, 2017. 90-93.
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