JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2011, Vol. 41 ›› Issue (3): 36-41.

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Novel model for brain MR images segmentation and bias correction
in the presence of intensity inhomogeneity

WANG Haijun, LIU Ming   

  1. Aviation Information Technology Research and Development Center, Binzhou University, Binzhou 256603, China
  • Received:2010-08-31 Online:2011-06-16 Published:2010-08-31

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Abstract:

To solve the intensity homogeneity in the segmentation of magnetic resonance (MR) images, a twophase level set model for segmentation of brain MR images was presented. The proposed model which utilized local image intensities can segment brain MR images and simultaneously corrects bias. The results showed that the new model could effectively segment MR images and there were better views of recuperative images.
 

Key words: magnetic resonance images, intensity inhomogeneity, bias correction, segmentation

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