Unsupervised segmentation of AM using independent component analysis

Oezkurt N., Oezkurt A.

IEEE 15th Signal Processing and Communications Applications Conference, Eskişehir, Türkiye, 11 - 13 Haziran 2007, ss.707-710 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Basıldığı Şehir: Eskişehir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.707-710
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

In this study, an autonomous classification and segmentation algorithm to diagnose, and trace Multiple Sclerosis (MS), from Magnetic Resonance (MR) imaging is developed. In this method, new image stacks are derived by using three diffrent weighted MR images, and then, independent components are obtained from those images derived. A decision maker is developed in order to choose the most suitable independent component by using spatial tone and MRI tissue properties.