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Feature-based sparse angle tomography reconstruction for dynamic characterization of bio-cellular materials
Author(s): Ziling Wu; Ting Yang; Ling Li; Yunhui Zhu
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Paper Abstract

We present a high-temporal resolution 4D-XCT with feature-based iterative reconstruction method(FBIR) by imposing feature priors in the reconstruction process. The 4D reconstruction is acquired through an iterative minimization of the cost function which is obtained by combining the forward model and multiple structural featurebased priors. The scheme is applied to the study of the mechanical response of a porous structure (sea urchin spines), which achieves high temporal resolution and demonstrates robustness against noise, limited views and motion induced blurring.

Paper Details

Date Published: 21 May 2018
PDF: 8 pages
Proc. SPIE 10669, Computational Imaging III, 106690O (21 May 2018); doi: 10.1117/12.2304935
Show Author Affiliations
Ziling Wu, Virginia Polytechnic Institute and State Univ. (United States)
Ting Yang, Virginia Polytechnic Institute and State Univ. (United States)
Ling Li, Virginia Polytechnic Institute and State Univ. (United States)
Yunhui Zhu, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 10669:
Computational Imaging III
Abhijit Mahalanobis; Amit Ashok; Lei Tian; Jonathan C. Petruccelli, Editor(s)

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