Regularized fuzzy c-means method for brain tissue clustering

  • Authors:
  • Z. Hou;W. Qian;S. Huang;Q. Hu;W. L. Nowinski

  • Affiliations:
  • Biomedical Imaging Lab, Singapore Bioimaging Consortium, 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore and Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 11 ...;Biomedical Imaging Lab, Singapore Bioimaging Consortium, 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore;Institute for Infocomm Research, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore;Biomedical Imaging Lab, Singapore Bioimaging Consortium, 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore;Biomedical Imaging Lab, Singapore Bioimaging Consortium, 30 Biopolis Street, #07-01, Matrix, Singapore 138671, Singapore

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2007

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Abstract

This paper presents a regularized fuzzy c-means clustering method for brain tissue segmentation from magnetic resonance images. A regularizer of the total variation type is explored and a method to estimate the regularization parameter is proposed.