Non-invasive methods of computer vision in the posture evaluation of adolescent idiopathic scoliosis.
OBJECTIVE
Reviewing techniques for non-invasive postural evaluation of adolescent idiopathic scoliosis (AIS) based on information extraction from images based on computer methods.


METHODS
The Scopus, Web of Science, MEDLINE, ScieLo and PubMed databases were used, for the period 2011-2015.


RESULTS
131 articles were found based on keyword of which 15 articles met the established eligibility criteria. Of these, 4 were based on photogrammetry, and 11 based on laser, structured light, ultrasound, and Moiré projection. In these studies, the methodological quality varied from low to high.


CONCLUSIONS
The findings indicated diversity in methodologies; 14/15 articles reviewed were limited to the evaluation of the topography of the posterior back. A study, using two-dimensional photogrammetry, presented a whole body postural evaluation. As the asymmetry in AIS can be extended to the whole body, more attention should be given to develop full body assessment techniques to provide important additional data to aid in treatment decisions.
Departamento de Engenharia de Estruturas, Escola de Engenharia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, Pampulha, CEP: 31270-901, Belo Horizonte, MG, Brazil. Electronic address: rozecota@hotmail.com.
Rozilene Maria C
RM
Aroeira
Departamento de Engenharia de Estruturas, Escola de Engenharia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, Pampulha, CEP: 31270-901, Belo Horizonte, MG, Brazil. Electronic address: estevam.lascasas@gmail.com.
Estevam B
EB
de Las Casas
Departamento de Engenharia Mecânica, Escola de Engenharia, Universidade Federal de Minas Gerais, Brazil. Electronic address: pertence@demec.ufmg.br.
Antônio Eustáquio M
AE
Pertence
Departamento de Engenharia de Estruturas, Escola de Engenharia, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, Pampulha, CEP: 31270-901, Belo Horizonte, MG, Brazil. Electronic address: mgreco@dees.ufmg.br.
Marcelo
M
Greco
Instituto de Ciências e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Portugal. Electronic address: tavares@fe.up.pt.
João Manuel R S
JM
Tavares
D000293:Adolescent; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation; D015903:Moire Topography / Q000295:instrumentation; D010780:Photogrammetry / Q000295:instrumentation; D011187:Posture; D012600:Scoliosis / Q000175:diagnosis* / Q000000981:diagnostic imaging; D014463:Ultrasonography / Q000295:instrumentation
Adolescent idiopathic scoliosis; Body posture; Computational methods; Evaluation; Imaging