Non-invasive methods of computer vision in the posture evaluation of adolescent idiopathic scoliosis

Summary Purpose 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. Resu...

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Published in:Journal of bodywork and movement therapies 2016-10, Vol.20 (4), p.832-843
Main Authors: Aroeira, Rozilene Maria C., MSc, de Las Casas, Estevam B., Ph.D, Pertence, Antônio Eustáquio M., Ph.D, Greco, Marcelo, Ph.D, Tavares, João Manuel R.S., Ph.D
Format: Article
Language:English
Subjects:
Adolescent
Adolescent idiopathic scoliosis
Body posture
Computational methods
Evaluation
Humans
Image Processing, Computer-Assisted - instrumentation
Imaging
Moire Topography - instrumentation
Photogrammetry - instrumentation
Physical Medicine and Rehabilitation
Posture
Scoliosis - diagnosis
Scoliosis - diagnostic imaging
Ultrasonography - instrumentation
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Summary:Summary Purpose 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.
ISSN:1360-8592
1532-9283
DOI:10.1016/j.jbmt.2016.02.004