Three-dimensional classification of spinal deformities using fuzzy clustering

Spine

Volumn 31, Issue 8, 2006, Pages 923-930

  Duong, Luc ^a,c   Cheriet, Farida ^a,c   Labelle, Hubert ^a,b  

^a UNIVERSITY OF MONTREAL   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

^c ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

Adolescent idiopathic scoliosis; Cluster analysis; Pattern recognition

Indexed keywords

ALGORITHM; ARTICLE; DISEASE CLASSIFICATION; HUMAN; IDIOPATHIC SCOLIOSIS; MODEL; PRIORITY JOURNAL; PROSPECTIVE STUDY; RELIABILITY; SPINE MALFORMATION; SPINE RADIOGRAPHY; TECHNIQUE; THREE DIMENSIONAL IMAGING;

ADOLESCENT; CHILD; CLUSTER ANALYSIS; FUZZY LOGIC; HUMANS; IMAGING, THREE-DIMENSIONAL; PROSPECTIVE STUDIES; SCOLIOSIS;

EID: 33646448280     PISSN: 03622436     EISSN: 15281159     Source Type: Journal    
DOI: 10.1097/01.brs.0000209312.62384.c1     Document Type: Article

References (18)

1. Cobb JR. Outline for the Study of Scoliosis. American Academy of Orthopaedic Surgeons, 1948:261-75.
2. Edgar M. A new classification of adolescent idiopathic scoliosis. Lancet 2002;360:270-1.
3. King HA, Moe JH, Bradford DS, et al. The selection of fusion levels in thoracic idiopathic scoliosis. J Bone Joint Surg Am 1983;65:1302-13.
4. Lenke LG, Betz RR, Harms J, et al. Adolescent idiopathic scoliosis: a new classification to determine extent of spinal arthrodesis. J Bone Joint Surg Am 2001;83:1169-81.
5. Lenke LG, Betz RR, Bridwell KH, et al. Intraobserver and interobserver reliability of the classification of thoracic adolescent idiopathic scoliosis. J Bone Joint Surg Am 1998;80:1097-106.
6. Poncet P, Dansereau J, Labelle H. Geometric torsion in idiopathic scoliosis: three-dimensional analysis and proposal for a new classification. Spine 2001;26:2235-43.
7. Delorme S, Petit Y, de Guise JA, et al. Assessment of the 3-D reconstruction and high-resolution geometrical modeling of the human skeletal trunk from 2-D radiographic images. IEEE Trans Biomed Eng 2003;50:989-98.
8. Stokes IA. Three-dimensional terminology of spinal deformity: a report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity. Spine 1994;19:236-48.
9. Mitton D, Landry C, Veron S, et al. 3D reconstruction method from biplanar radiography using non-stereo corresponding points and elastic deformable meshes. Med Biol Eng Comput Med Biol Eng Comput 2000;38:133-9.
10. Novosad J, Cheriet F, Petit Y, et al. Three-dimensional (3-D) reconstruction of the spine from a single X-ray image and prior vertebra models. IEEE Trans Biomed Eng IEEE Trans Biomed Eng 2004;51:1628-39.
11. Stokes IA, Aronsson DD. Identifying sources of variability in scoliosis classification using a rule-based automated algorithm. Spine 2002;27:2801-5.
12. Duda RO, Hart PE. Pattern Classification and Scene Analysis. Wiley-Interscience, 1973.
13. O'Malley MJ, Abel MF, Damiano DL, et al. Fuzzy clustering of children with cerebral palsy based on temporal-distance gait parameters. IEEE Trans Rehabil Eng 1997;5:300-9.
14. Antonini M, Barlaud M, Mathieu P, et al. Image coding using wavelet transform. IEEE Transactions Image Processing 1992;1:205-20.
15. Rand WM. Objective criteria for the evaluation of clustering methods. J Am Statist Assoc 1971;66:846-850.
16. Stokes, Ian AF, Bigalow LC, et al. Three-dimensional spinal curvature in idiopathic scoliosis. J Orthop Res 1987;5:102-13.
17. Perdriolle R, Le Borgne P, Dansereau J, et al. Idiopathic scoliosis in three dimensions: a succession of two-dimensional deformities? Spine 2001;26:2719-26.
18. Carpineta L, Labelle H. Evidence of three-dimensional variability in scoliotic curves. Clin Orthop 2003;412:139-48.