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.
Original language | English |
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Title of host publication | 2016 IEEE International Symposium on Biomedical Imaging |
Subtitle of host publication | From Nano to Macro, ISBI 2016 - Proceedings |
Editors | Boudewijn Lelieveldt, Karl Rohr |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 581-584 |
Number of pages | 4 |
Volume | 2016-June |
ISBN (Electronic) | 9781479923502 |
DOIs | |
Publication status | Published - 15 Jun 2016 |
Externally published | Yes |
Event | IEEE International Symposium on Biomedical Imaging (ISBI) 2016 - Clarion Congress Hotel, Prague, Czechia Duration: 13 Apr 2016 → 16 Apr 2016 Conference number: 13th https://ieeexplore.ieee.org/xpl/conhome/7486633/proceeding (Proceedings) |
Conference
Conference | IEEE International Symposium on Biomedical Imaging (ISBI) 2016 |
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Abbreviated title | ISBI 2016 |
Country/Territory | Czechia |
City | Prague |
Period | 13/04/16 → 16/04/16 |
Other | The ISBI conference has been organized since 2002 and it continues to fulfill its role of bringing together researchers from the various fields that comprise biomedical imaging, such as biology, medicine,imaging technology, image processing, machine learning and many others. |
Internet address |
Keywords
- Computed Tomography
- Sparse Regularization
- Total Variation
- X-ray Tensor Tomography