[3] R Chen, P Liu, T Xiao, et al.. X-ray imaging for non-destructive microstructure analysis at SSRF[J]. Advanced Materials, 2014, 26(46): 7688-7691.
[4] Xiao Tiqiao, Xie Honglan, Deng Biao, et al.. Progresses of X-ray imaging methodology and its applications at Shanghai Synchrotron Radiation Facility[J]. Acta Optica Sinica, 2014, 34(1): 0100001.
[5] P Liu, J Sun, J Zhao, et al.. Microvascular imaging using synchrotron radiation[J]. Journal of Synchrotron Radiation, 2010, 17(4): 517-521.
[6] M Shirai, D O Schwenke, H Tsuchimochi, et al.. Synchrotron radiation imaging for advancing our understanding of cardiovascular function [J]. Circulation Research, 2013, 112(1): 209-221.
[7] B Deng, Y Ren, Y Wang, et al.. Full field X-ray nano-imaging at SSRF[C]. SPIE, 2013, 8851: 88511D.
[8] B Dong, F Xu, X Hu, et al.. In situ investigation of the 3D mechanical microstructure at nanoscale: Nano-CT imaging method of local small region in large scale sample[J]. Scientific World Journal, 2014, 2014: 806371.
[9] H Xie, B Deng, G Du, et al.. X-ray biomedical imaging beamline at SSRF[J]. Journal of Instrumentation, 2013, 8(8): C08003.
[11] N D Cornea, D Silver, P Min. Curve-skeleton properties, applications, and algorithms[J]. IEEE Transactions on Visualization and Computer Graphics, 2007, 13(3): 530-548.
[12] T C Lee, R L Kashyap, C N Chu. Building skeleton models via 3-D medial surface axis thinning algorithms[J]. CVGIP: Graphical Models and Image Processing, 1994, 56(6): 462-478 .
[13] G Borgefors. On digital distance transforms in three dimensions[J]. Computer Vision and Image Understanding, 1996, 64(3): 368-376.
[14] J W Brandt, V R Algazi. Continuous skeleton computation by Voronoi diagram[J]. CVGIP: Image Understanding, 1992, 55(3): 329-338.
[15] N D Cornea, D Silver, X Yuan, et al.. Computing hierarchical curve-skeletons of 3D objects[J]. Visual Computer, 2005, 21(11): 945-955.
[16] T Saito. A sequential thinning algorithm for three dimensional digital pictures using the Euclidean distance transformation[C]. Proceedings of the 9th SCIA, 1995: 507-516.
[17] K Palágyi, E Balogh, A Kuba, et al.. A sequential 3D thinning algorithm and its medical applications[M].// Information Processing in Medical Imaging. Berlin: Springer Berlin Heidelberg, 2001, 2082: 409-415.
[18] C M Ma , M Sonka. A fully parallel 3D thinning algorithm and its applications[J]. Computer Vision and Image Understanding, 1996, 64(3): 420-433.
[19] K Palagyi, A Kuba. A parallel 3D 12-subiteration thinning algorithm[J]. Graphical Models and Image Processing, 1999, 61(4): 199-221.
[20] W Xie, R P Thompson, R Perucchio. A topology-preserving parallel 3D thinning algorithm for extracting the curve skeleton[J]. Pattern Recognition, 2003, 36(7): 1529-1544.
[21] T Wang, A Basu. A note on‘a fully parallel 3D thinning algorithm and its applications’[J]. Pattern Recognition Letters, 2007, 28(4): 501-506 .
[22] T Y Kong, A Rosenfeld. Digital-topology - introduction and survey[J]. Computer Vision Graphics and Image Processing, 1989 , 48(3): 357-393.
[23] K Palágyi, G Németh, P Kardos. Topology preserving parallel 3D thinning algorithms[M].// Digital Geometry Algorithms. Berlin: Springer, 2012: 165-188.
[24] J L Hennessy, D A Patterson. Computer Architecture: A Quantitative Approach[M]. Waltham: Elsevier, 2011.