Prediction of scoliosis curve type based on the analysis of trunk surface topography
dc.contributor.author | Seoud, Lama | |
dc.contributor.author | Adankon, Mathias M. | |
dc.contributor.author | Labelle, Hubert | |
dc.contributor.author | Dansereau, Jean | |
dc.contributor.author | Cheriet, Farida | |
dc.date.accessioned | 2016-02-15T17:02:26Z | |
dc.date.available | NO_RESTRICTION | fr |
dc.date.available | 2016-02-15T17:02:26Z | |
dc.date.issued | 2010-04 | |
dc.identifier.uri | http://hdl.handle.net/1866/13053 | |
dc.description.sponsorship | CIHR / IRSC | fr |
dc.subject | Pattern classification Scoliosis Surface topography | fr |
dc.title | Prediction of scoliosis curve type based on the analysis of trunk surface topography | fr |
dc.type | Contribution à un congrès / Conference object | fr |
dc.contributor.affiliation | Université de Montréal. Faculté de médecine. Département de chirurgie | fr |
dc.identifier.doi | 10.1109/ISBI.2010.5490322 | |
dcterms.abstract | Scoliosis treatment strategy is generally chosen according to the severity and type of the spinal curve. Currently, the curve type is determined from X-rays whose acquisition can be harmful for the patient. We propose in this paper a system that can predict the scoliosis curve type based on the analysis of the surface of the trunk. The latter is acquired and reconstructed in 3D using a non invasive multi-head digitizing system. The deformity is described by the back surface rotation, measured on several cross-sections of the trunk. A classifier composed of three support vector machines was trained and tested using the data of 97 patients with scoliosis. A prediction rate of 72.2% was obtained, showing that the use of the trunk surface for a high-level scoliosis classification is feasible and promising. | fr |
dcterms.language | eng | fr |
oaire.citationTitle | IEEE International Symposium on Biomedical Imaging : from Nano to Macro | |
oaire.citationStartPage | 408 | |
oaire.citationEndPage | 411 | |
oaire.citationConferencePlace | Rotterdam (Pays-Bas) | |
oaire.citationConferenceDate | 2010-04-14 - 2010-04-17 |
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