Component-based TV regularization for X-ray tensor tomography
Seyyedi S, Wieczorek M, Sharma Y, Schaff F, Jud C, Pfeiffer F, Lasser T (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: IEEE Computer Society
Book Volume: 2016-June
Pages Range: 581-584
Conference Proceedings Title: Proceedings - International Symposium on Biomedical Imaging
Event location: Prague, CZE
ISBN: 9781479923502
DOI: 10.1109/ISBI.2016.7493335
Abstract
X-ray Tensor Tomography (XTT) is a recently developed imaging modality that provides reconstruction of X-ray scattering tensors from dark-field projections obtained in a grating interferometry setup. In this work we present a novel component-based total variation (TV) regularized reconstruction technique for XTT data. First results show promising qualitative improvements of the reconstructed tensors as well as reduced noise and reduced streak artifacts.
Involved external institutions
Germany (DE)How to cite
APA:
Seyyedi, S., Wieczorek, M., Sharma, Y., Schaff, F., Jud, C., Pfeiffer, F., & Lasser, T. (2016). Component-based TV regularization for X-ray tensor tomography. In Proceedings - International Symposium on Biomedical Imaging (pp. 581-584). Prague, CZE: IEEE Computer Society.
MLA:
Seyyedi, Saeed, et al. "Component-based TV regularization for X-ray tensor tomography." Proceedings of the 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, CZE IEEE Computer Society, 2016. 581-584.
BibTeX: Download