Paper Info
Title
Computer-aided assessment of scoliosis on posteroanterior radiographs.
Abstract
In order to reduce the observer variability in radiographic scoliosis assessment, a computer-aided system was developed. The system semi-automatically measured the Cobb angle and vertebral rotation on posteroanterior radiographs based on Hough transform and snake model, respectively. Both algorithms were integrated with the shape priors to improve the performance. The system was tested twice by each of three observers. The intraobserver and interobserver reliability analyses resulted in the intraclass correlation coefficients higher than 0.9 and 0.8 for Cobb measurement on 70 radiographs and rotation measurement on 156 vertebrae, respectively. Both the Cobb and rotation measurements resulted in the average intraobserver and interobserver errors less than 2 degrees and 3 degrees , respectively. There were no significant differences in the measurement variability between groups of curve location, curve magnitude, observer experience, and vertebra location. Compared with the documented results, measurement variability is reduced by using the developed system. This system can help orthopedic surgeons assess scoliosis more reliably.
Year
DOI
Venue
2010
10.1007/s11517-009-0556-7
Med. Biol. Engineering and Computing
Keywords
Field
DocType
scoliosiscobb anglevertebral rotation � computer-aided measurementradiograph,hough transform,intraclass correlation coefficient
Scoliosis,Cobb angle,Radiography,Artificial intelligence,Vertebra,Intraclass correlation,Computer vision,Orthodontics,Hough transform,Orthopedic surgery,Radiology,Observer (quantum physics),Mathematics
Journal
Volume
Issue
ISSN
48
2
1741-0444
Citations 
PageRank 
References 
6
0.65
16
Authors
7
Name
Order
Citations
PageRank
Junhua Zhang1376.68
Edmond Lou26116.63
Douglas L Hill3253.26
V. James Raso45611.85
Yuanyuan Wang549882.58
Lawrence H Le6184.63
xinling shi77415.34