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Motion compensated micro-CT reconstruction for in-situ analysis of dynamic processes

Thomas De Schryver (UGent) , Manuel Dierick (UGent) , Marjolein Heyndrickx (UGent) , Jeroen Van Stappen (UGent) , Marijn Boone (UGent) , Luc Van Hoorebeke (UGent) and Matthieu Boone (UGent)
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Abstract
This work presents a framework to exploit the synergy between Digital Volume Correlation ( DVC) and iterative CT reconstruction to enhance the quality of high-resolution dynamic X-ray CT (4D-mu CT) and obtain quantitative results from the acquired dataset in the form of 3D strain maps which can be directly correlated to the material properties. Furthermore, we show that the developed framework is capable of strongly reducing motion artifacts even in a dataset containing a single 360 degrees rotation.
Keywords
DIGITAL VOLUME CORRELATION, IMAGE CORRELATION, MU-CT, COMPUTED-TOMOGRAPHY, REGISTRATION, DEFORMATION, SANDSTONE, ALGORITHM, DISCRETE

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Chicago
De Schryver, Thomas, Manuel Dierick, Marjolein Heyndrickx, Jeroen Van Stappen, Marijn Boone, Luc Van Hoorebeke, and Matthieu Boone. 2018. “Motion Compensated micro-CT Reconstruction for In-situ Analysis of Dynamic Processes.” Scientific Reports 8.
APA
De Schryver, T., Dierick, M., Heyndrickx, M., Van Stappen, J., Boone, M., Van Hoorebeke, L., & Boone, M. (2018). Motion compensated micro-CT reconstruction for in-situ analysis of dynamic processes. SCIENTIFIC REPORTS, 8.
Vancouver
1.
De Schryver T, Dierick M, Heyndrickx M, Van Stappen J, Boone M, Van Hoorebeke L, et al. Motion compensated micro-CT reconstruction for in-situ analysis of dynamic processes. SCIENTIFIC REPORTS. 2018;8.
MLA
De Schryver, Thomas, Manuel Dierick, Marjolein Heyndrickx, et al. “Motion Compensated micro-CT Reconstruction for In-situ Analysis of Dynamic Processes.” SCIENTIFIC REPORTS 8 (2018): n. pag. Print.
@article{8562047,
  abstract     = {This work presents a framework to exploit the synergy between Digital Volume Correlation ( DVC) and iterative CT reconstruction to enhance the quality of high-resolution dynamic X-ray CT (4D-mu CT) and obtain quantitative results from the acquired dataset in the form of 3D strain maps which can be directly correlated to the material properties. Furthermore, we show that the developed framework is capable of strongly reducing motion artifacts even in a dataset containing a single 360 degrees rotation.},
  articleno    = {7655},
  author       = {De Schryver, Thomas and Dierick, Manuel and Heyndrickx, Marjolein and Van Stappen, Jeroen and Boone, Marijn and Van Hoorebeke, Luc and Boone, Matthieu},
  issn         = {2045-2322},
  journal      = {SCIENTIFIC REPORTS},
  keyword      = {DIGITAL VOLUME CORRELATION,IMAGE CORRELATION,MU-CT,COMPUTED-TOMOGRAPHY,REGISTRATION,DEFORMATION,SANDSTONE,ALGORITHM,DISCRETE},
  language     = {eng},
  pages        = {10},
  title        = {Motion compensated micro-CT reconstruction for in-situ analysis of dynamic processes},
  url          = {http://dx.doi.org/10.1038/s41598-018-25916-5},
  volume       = {8},
  year         = {2018},
}

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