Huang Y, Taubmann O, Huang X, Haase V, Lauritsch G, Maier A (2016)
Publication Type: Conference contribution, Original article
Publication year: 2016
Publisher: IEEE Computer Society
Edited Volumes: Proceedings - International Symposium on Biomedical Imaging
Book Volume: 2016-June
Pages Range: 585-588
Conference Proceedings Title: the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Event location: Prague
ISBN: 9781479923502
URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang-ANW.pdf
DOI: 10.1109/ISBI.2016.7493336
This paper addresses streak reduction in limited angle tomography. The weighted total variation (wTV) algorithm is able to remove most Poisson noise and small streaks for clinical limited angle data. However, it is still not sufficient to remove larger streaks whose orientations are mostly dependent on the scan trajectory. We propose a new weighted anisotropic total variation (waTV) algorithm, which uses four neighboring pixels to calculate the gradient along the streaks' normal direction and is able to reduce large streaks well.
APA:
Huang, Y., Taubmann, O., Huang, X., Haase, V., Lauritsch, G., & Maier, A. (2016). A NEW WEIGHTED ANISOTROPIC TOTAL VARIATION ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY. In the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 585-588). Prague: IEEE Computer Society.
MLA:
Huang, Yixing, et al. "A NEW WEIGHTED ANISOTROPIC TOTAL VARIATION ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY." Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), Prague IEEE Computer Society, 2016. 585-588.
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