Paper Info
Title
Component-Based Tv Regularization For X-Ray Tensor Tomography
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.
Year
DOI
Venue
2016
10.1109/ISBI.2016.7493335
2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)
Keywords
Field
DocType
X-ray Tensor Tomography, Computed Tomography, Total Variation, Sparse Regularization
Iterative reconstruction,Computer vision,Grating,Tensor,Streak,Optics,Tomography,Interferometry,Regularization (mathematics),Artificial intelligence,Scattering,Physics
Conference
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
1
7
Name
Order
Citations
PageRank
Saeed Seyyedi111.42
Matthias Wieczorek2183.28
Yash Sharma395.20
Florian Schaff400.68
Christoph Jud531.46
Franz Pfeiffer645.83
Tobias Lasser79716.81