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

Date

2012-01-01

Author

Rezaeitabar, Yousef
Ulusoy, İlkay

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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.

Subject Keywords

Surgery, Health Informatics, Radiology Nuclear Medicine and imaging, General Medicine

URI

https://hdl.handle.net/11511/36578

Journal

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY

DOI

https://doi.org/10.1007/s11548-011-0567-3

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

Y. Rezaeitabar and İ. Ulusoy, “Automatic 3D segmentation of individual facial muscles using unlabeled prior information,” INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, pp. 35–41, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36578.