DocumentCode :
471934
Title :
Statistical Shape Analysis of Metopic Craniosynostosis: A Preliminary Study
Author :
Srivilasa, Charlie ; Zhao, Linping ; Patel, Pravin K. ; Tomita, Tadanori ; Liu, Shu Q.
Author_Institution :
Dept. of Biomed. Eng., Northwestern Univ., Evanston, IL
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
4066
Lastpage :
4069
Abstract :
This preliminary study was conducted to explore different analytical shape methods for use in evaluating children born with cranial vault deformities. Twenty skull outlines from patients with metopic craniosynostosis were ascribed landmarks. Scale, location, and rotational factors were removed using Procrustes analysis. A single index of severity from 0-5, with 5 being the most severe, was developed using Procrustes distance in shape space. Skull 20 had the highest score in our data set. Principal component analysis was performed to determine areas of large shape variability. Principal component 1 and 2 accounted for 86 % of the shape variability which was attributed to early closure of the metopic suture. Procrustes analysis used in combination with Procrustes distance and principal component analysis are powerful tools for the evaluation of cranial vault deformities and can be used to objectively categorize the severity of the skull deformity and outcome from surgical reconstructive surgery
Keywords :
biomechanics; bone; principal component analysis; surgery; Procrustes distance; cranial vault deformities; metopic craniosynostosis; principal component analysis; reconstructive surgery; skull deformity; statistical shape analysis; Cities and towns; Cranial; Pediatrics; Plastics; Principal component analysis; Shape; Skull; Surgery; Surges; Transmission line matrix methods; Craniosynostosis; Principal Component Analysis; Procrustes Analysis; Procrustes Distance; Shape Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260032
Filename :
4462693
Link To Document :
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