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

• Type: Article in International Scientific Journal
• Date: 2016-10

Authors

Rozilene Maria C. Aroeira (Author) Other; Estevam B. de Las Casas (Author) Other; Antônio Eustáquio M. Pertence (Author) Other; Marcelo Greco (Author) Other; João Manuel R. S. Tavares (Author) FEUP

Journal

Title: Journal of Bodywork and Movement Therapies

Vol. 20 No. 4

Pages: 832-843

ISSN: 1360-8592

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 11 Citations

ISI Web of Science

Scopus - 38 Citations

Pubmed / Medline

Scientific classification

CORDIS: Health sciences

FOS: Engineering and technology

Other information

Authenticus ID: P-00M-7AA

DOI: 10.1016/j.jbmt.2016.02.004

Abstract (EN): 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 Moire 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 decision

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12