Analysis of scoliosis trunk deformities using ICA


Autoria(s): Adankon, Mathias M.; Dansereau, Jean; Labelle, Hubert; Cheriet, Farida
Data(s)

15/02/2016

31/12/1969

15/02/2016

02/07/2012

Resumo

This paper describes a method for analyzing scoliosis trunk deformities using Independent Component Analysis (ICA). Our hypothesis is that ICA can capture the scoliosis deformities visible on the trunk. Unlike Principal Component Analysis (PCA), ICA gives local shape variation and assumes that the data distribution is not normal. 3D torso images of 56 subjects including 28 patients with adolescent idiopathic scoliosis and 28 healthy subjects are analyzed using ICA. First, we remark that the independent components capture the local scoliosis deformities as the shoulder variation, the scapula asymmetry and the waist deformation. Second, we note that the different scoliosis curve types are characterized by different combinations of specific independent components.

CIHR (Canadian Institutes of Health Research)

Identificador

Adankon MM, Dansereau J, Labelle H, Cheriet F. Analysis of scoliosis trunk deformities using ICA. Dans Signal Processing and their Applications (ISSPA) : 11th International Conference on Information Science; 2 au 5 Juil 2012; Montréal, Québec. Piscataway (NJ): IEEE; 2012. p. 187-192.

http://hdl.handle.net/1866/13055

10.1109/ISSPA.2012.6310543

Idioma(s)

en

Relação

Signal Processing and their Applications (ISSPA);2012

Palavras-Chave #Deformation #Feature extraction #Vectors #Independent component analysis #Medical image processing #Orthopaedics #Torso #Shape #Integrated circuits #Algorithm design and analysis
Tipo

Actes de conférence / Conference Proceedings