Automatic Segmentation Of White Matter Lesions

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KEÇELİ A. S., CAN A. B.

IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Türkiye, 9 - 11 Nisan 2009, ss.443-446 identifier identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1016/j.media.2012.09.004
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.443-446
  • Hacettepe Üniversitesi Adresli: Evet

Özet

This paper introduces a method to detect white matter lesions in brain automatically. Our method tries to determine the regions of lesions unsupervisedly on magnetic resonance (AM) images of a group of patient by using image processing techniques. As a first step, skull is removed from brain tissue using watershed transform and morphological operations. After skull-stripping, seed points selected by using fuzzy, c-means clustering (FCM) algorithm are used in region-growing method. This operation generates the binary mask containing the regions of lesions.