Automatic 3D segmentation of individual facial muscles using unlabeled prior information

Rezaeitabar Y., ULUSOY İ.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, cilt.7, sa.1, ss.35-41, 2012 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 7 Sayı: 1
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1007/s11548-011-0567-3
  • Dergi Adı: INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.35-41
  • Anahtar Kelimeler: Facial soft tissue, Magnetic resonance images, Markov random field, Prior information, Segmentation, Region growing, IMAGE SEGMENTATION, VOLUME, BRAIN, MODEL, MRI
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Purpose Segmentation of facial soft tissues is required for surgical planning and evaluation, but this is laborious using manual methods and has been difficult to achieve with digital segmentation methods. A new automatic 3D segmentation method for facial soft tissues in magnetic resonance imaging (MRI) images was designed, implemented, and tested.