1. Component-based TV regularization for X-ray tensor tomography
- Author
-
Christoph Jud, Franz Pfeiffer, Saeed Seyyedi, Florian Schaff, Tobias Lasser, Matthias Wieczorek, and Yash Sharma
- Subjects
Physics ,business.industry ,Scattering ,Streak ,02 engineering and technology ,Iterative reconstruction ,021001 nanoscience & nanotechnology ,Regularization (mathematics) ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Optics ,Component (UML) ,Tensor ,Tomography ,Noise (video) ,0210 nano-technology ,business - 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.
- Published
- 2016
- Full Text
- View/download PDF