DocumentCode
636287
Title
Computerized Lenke classification of scoliotic spine
Author
Junhua Zhang ; Xinling Shi ; Liang Lv ; Xiao Wang ; Yufeng Zhang ; Fei Guo
Author_Institution
Electr. Eng. Dept., Yunnan Univ., Kunming, China
fYear
2013
fDate
3-7 July 2013
Firstpage
945
Lastpage
948
Abstract
A computer-aided approach was proposed to reduce the variability in the Lenke classification. At the first step, endplate inclination of each vertebra on both the coronal and sagittal radiographs was measured by a computerized system. The Cobb angles of the proximal thoracic, the main thoracic, and the thoracolumbar/lumbar curves were then automatically calculated in the standing and side-bending coronal planes and the standing sagittal plane. A computerized algorithm automatically classified the spinal type. The classification results of 37 scoliotic patients by five observers showed that with the computer aid, the average interobserver and intraobserver kappa values were improved from 0.77 to 0.88 and from 0.68 to 0.83, respectively. This computerized tool can assist in the Lenke classification of scoliosis.
Keywords
bone; diagnostic radiography; image classification; medical image processing; Cobb angle automatic calculation; Lenke classification variability reduction; automatic classificatioon; average interobserver kappa value; average intraobserver kappa value; computer-aided approach; computerized Lenke classification; computerized algorithm; computerized system; coronal radiograph; main thoracic; proximal thoracic; sagittal radiograph; scoliotic patient; scoliotic spine; side-bending coronal plane; spinal type; standing coronal plane; standing sagittal plane; thoracolumbar-lumbar curve; vertebra endplate inclination; Classification algorithms; Computers; Image edge detection; Observers; Radiography; Reliability; Surgery; Adolescent; Algorithms; Child; Computers; Female; Humans; Male; Observer Variation; Radiographic Image Enhancement; Reproducibility of Results; Scoliosis; Spine;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6609658
Filename
6609658
Link To Document