Feature-based sparse angle tomography reconstruction for dynamic characterization of bio-cellular materials

Ziling Wu; Ting Yang; Ling Li; Yunhui Zhu

doi:10.1117/12.2304935

21 May 2018 Feature-based sparse angle tomography reconstruction for dynamic characterization of bio-cellular materials

Ziling Wu, Ting Yang, Ling Li, Yunhui Zhu

Proceedings Volume 10669, Computational Imaging III; 106690O (2018) https://doi.org/10.1117/12.2304935
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

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.

Citation Download Citation

Ziling Wu, Ting Yang, Ling Li, and Yunhui Zhu "Feature-based sparse angle tomography reconstruction for dynamic characterization of bio-cellular materials", Proc. SPIE 10669, Computational Imaging III, 106690O (21 May 2018); https://doi.org/10.1117/12.2304935

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