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

Rezaeitabar Y., ULUSOY İ.

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, vol.7, no.1, pp.35-41, 2012 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 7 Issue: 1
  • Publication Date: 2012
  • Doi Number: 10.1007/s11548-011-0567-3
  • Journal Name: INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.35-41
  • Keywords: Facial soft tissue, Magnetic resonance images, Markov random field, Prior information, Segmentation, Region growing, IMAGE SEGMENTATION, VOLUME, BRAIN, MODEL, MRI
  • Middle East Technical University Affiliated: Yes

Abstract

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.