NDLI: Automatic identification of Frankfurt plane and mid-sagittal plane of skull

Content Provider	IEEE Xplore Digital Library
Author	Yuan Cheng Wee Kheng Leow Thiam Chye Lim
Copyright Year	2012
Description	Author affiliation: Dept. of Computer Science, National University of Singapore, Singapore (Yuan Cheng; Wee Kheng Leow) \|\| Dept. of Surgery, National University Hospital, Singapore (Thiam Chye Lim)
Abstract	Automatic identification of the Frankfurt plane (FP) and mid-sagittal plane (MSP) of a human skull is a very important task. These planes are used to define important landmarks on the skull for surgery planning and guidance, forensic reconstruction, and anthropological and archaeological studies. At present, there is no known method for automatic identification of FP. Existing methods identify FP by fitting a plane over manually marked landmark points. On the other hand, existing automatic methods identify MSP by looking for a symmetric plane that divides the skull into the left and right sides. Unfortunately, this approach is inaccurate because extensive anthropological studies show that there is significant lateral asymmetry in the skulls. This paper proposes an automatic, accurate, and robust method for identifying FP and MSP of skulls. It registers a template skull model with known landmarks to a target skull to locate the landmarks, FP, and MSP on the target skull. Then, it iteratively refines the landmark locations, FP and MSP according to their medical definitions. Test results show that the proposed algorithm is more robust and accurate than symmetry-based methods. Moreover, it can also be applied to partial skull models of real patients.
Starting Page	233
Ending Page	238
File Size	4743839
Page Count	6
File Format	PDF
ISBN	9781467302333
ISSN	15505790
e-ISBN	9781467302340
e-ISBN	9781467302326
DOI	10.1109/WACV.2012.6162994
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Humans Shape Vectors Registers Surgery Orbits
Content Type	Text
Resource Type	Article

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