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Author:

Ai, H.-M. (Ai, H.-M..) | Wu, S.-C. (Wu, S.-C..) (Scholars:吴水才) | Yang, C.-L. (Yang, C.-L..) | Gao, H.-J. (Gao, H.-J..) | Zeng, Y. (Zeng, Y..)

Indexed by:

Scopus PKU CSCD

Abstract:

3D visualization of hepatic tumor is a key technique in preoperative planning system of microwave hepatic tumor ablation, whose performance determines the reliability and effect of surgical planning result. In this paper, a new method for 3D visualization of hepatic tumor was proposed. Firstly, a segmentation method based on graph-theory was applied to automatically extract hepatic tumor. Secondly, a new marching cubes algorithm was employed to reconstruct tumor surface. Finally, surface rendering and displaying were accomplished by 3D graphic library OpenGL. The proposed method was evaluated via CT images of 6 patients suffering from hepatic carcinoma. The results showed that the 3D reconstruction was fast and the visualization of the tumor model was satisfying without manual intervention.

Keyword:

3D reconstruction; Hepatic tumor; Image auto-segmentation

Author Community:

  • [ 1 ] [Ai, H.-M.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Wu, S.-C.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Yang, C.-L.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Gao, H.-J.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Zeng, Y.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China

Reprint Author's Address:

  • [Ai, H.-M.]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China

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Source :

Chinese Journal of Biomedical Engineering

ISSN: 0258-8021

Year: 2010

Issue: 4

Volume: 29

Page: 504-508

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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