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作者:

Gao, Hong-Jian (Gao, Hong-Jian.) | Xue, Yan-Qing (Xue, Yan-Qing.) | Wu, Shui-Cai (Wu, Shui-Cai.) (学者:吴水才) | Ai, Hai-Ming (Ai, Hai-Ming.) | Yang, Chun-Lan (Yang, Chun-Lan.) | Bai, Yan-Ping (Bai, Yan-Ping.) | Sheng, Lei (Sheng, Lei.) | Liu, Wei (Liu, Wei.)

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摘要:

Automatic identification and analysis methods of cerebral tumors are introduced. The mathematical model of brain MRI is built by support vector machines, thereby achieving automated identification of cerebral tumors. Then, 3D surface models of cerebral tumors can be obtained through image reconstruction and associated 3D physical parameters can be extracted based on the morphologic analysis. Experimental results show that the method can effectively identify 3D cerebral tumors and thus provides reliable clinical evidence and objective evaluation for the radiofrequency thermocoagulation operation of cerebral tumors.

关键词:

Automation Brain Image analysis Image reconstruction Magnetic resonance imaging Support vector machines Three dimensional computer graphics Tumors

作者机构:

  • [ 1 ] [Gao, Hong-Jian]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Xue, Yan-Qing]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wu, Shui-Cai]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Ai, Hai-Ming]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Yang, Chun-Lan]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 6 ] [Bai, Yan-Ping]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 7 ] [Sheng, Lei]College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
  • [ 8 ] [Liu, Wei]Department of Radiology, Peking University People's Hospital, Beijing 100044, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2012

期: 6

卷: 38

页码: 955-960

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