Brain MRI Segmentation Based on the Rényi's Fractal Dimension

  • Authors:

  • Daniel Flores-Tapia;Gabriel Thomas;Boyd Mccurdy;Stephen Pistorius

  • Affiliations:

  • Department of Medical Physics, CancerCare Manitoba,;Electrical and Computer Engineering Department, University of Manitoba,;Department of Medical Physics, CancerCare Manitoba, and Department of Physics & Astronomy, University of Manitoba, and Department of Radiology, University of Manitoba,;Department of Medical Physics, CancerCare Manitoba, and Department of Physics & Astronomy, University of Manitoba, and Department of Radiology, University of Manitoba,

  • Venue:
  • ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
  • Year:
  • 2009

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Abstract

This paper presents a novel technique to perform segmentation on brain Magnetic Resonance Imaging (MRI). In this work, the multifractal behavior of the different textures present in brain MRI images was characterized. This process was done by calculating the Rényi's entropy function using different mask sizes. The average Rényi's fractal dimension was then determined and used to separate the gray and white matter regions in the image. The proposed method yielded promising results when applied to a real MRI data set.