Cone-Beam CT Fast Reconstruction Method Based on the Minimum Three Dimensional Convex Hull for Actual Scan Data

Kui Dong Huang; Ding Hua Zhang; Ming Jun Li; Hua Zhang

doi:10.4028/www.scientific.net/AMM.229-231.1819

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 229-231Cone-Beam CT Fast Reconstruction Method Based on...

Cone-Beam CT Fast Reconstruction Method Based on the Minimum Three Dimensional Convex Hull for Actual Scan Data

Abstract:

In the three dimensional reconstruction of cone-beam CT, a fast reconstruction method based on the smallest three dimensional convex hull was proposed for actual scan data. First, according to the definition of the minimum three dimensional convex hull, the minimum three dimensional convex hull of the detected object was obtained in the actual scan using a segmentation algorithm based on the projected images, and then with the Z-line data first algorithm, the image reconstruction area was limited to the minimum three dimensional convex hull to enhance the cone-beam CT reconstruction speed by reducing the redundant computing. The experimental results show that this method can effectively reduce the memory consumption, and significantly improve the reconstruction speed and reduce the noise surrounding the object imaging area.

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Periodical:

Applied Mechanics and Materials (Volumes 229-231)

Pages:

1819-1822

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.229-231.1819

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Online since:

November 2012

Authors:

Kui Dong Huang, Ding Hua Zhang, Ming Jun Li, Hua Zhang

Keywords:

Cone-Beam CT, Image Reconstruction, Image Segmentation, Minimum Three Dimensional Convex Hull, Z-Line Data First Algorithm

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References

[1] M. Grass: Phys Med Bid Vol. 45 (2000), pp.329-347.

Google Scholar

[2] X.G. Wang, Z.P. Guo, Y.H. Peng, C.Z. Zhang and J.M. Tian: Journal of Tsinghua University (Science and Technology) Vol. 5 (2002), pp.655-658.

Google Scholar

[3] S. Supun, S. Frank and T. Kwok: US Patent 5960055, 1999-09-28.

Google Scholar

[4] Y.J. He, A. Cai and J.A. Sun: Electronics Letters Vol. 29 (1993), pp.822-824.

Google Scholar

[5] F. Xu and K. Mueller: Phys. Med. Biol Vol. 52 (2007), pp.3405-3419.

Google Scholar

[6] P.B. Noëla, A.M. Walczaka, J.H. Xua, J.J. Corsoa, K.R. Hoffmanna and S. Schafera: Computer Methods and Programs in Biomedicine Vol. 98 (2010), pp.271-277.

Google Scholar

[7] H.P. Mao, D.H. Zhang, L. Liang, X.B. Zhao and S. Li: Acta Simulata Systematica Sinica Vol. 16 (2004), pp.2486-2489.

Google Scholar

[8] M.J. Li, D.H. Zhang, K.D. Huang, S.L. Zhang and F.L. Zha: Journal of Northwestern Polytechnical University Vol. 29 (2011), pp.68-73.

Google Scholar