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Abstract

Automated segmentation of MR images is a difficult problem due to complexity of the images. In this paper, we proposed a new method based on independent component analysis (ICA) for segmentation of MR images. We first extract thee independent components from the T1-weighted, T2-weighted and PD images by using ICA and then the extracted independent components are used for segmentation of MR images. Since ICA can enhance the local features, the MR images can be transformed to contrast-enhanced images by ICA. The effectiveness of the ICA-based method has been demonstrated.

Keywords

Independent Component Analysis Independent Component False Negative Rate Independent Component Analysis Target Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yen-Wei Chen
    • 1
    • 2
  • Daigo Sugiki
    • 1
  1. 1.College of Electronic and Information EngineeringCentral South Forest UniversityChangshaChina
  2. 2.College of Information Science and Eng.Ritsumeikan Univ.ShigaJapan

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