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Prediction of scoliosis curve type based on the analysis of trunk surface topography
(2010-04)
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 ...
Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approach
(Springer Berlin Heidelberg, 2010)
In this paper, a new methodology for the prediction of scoliosis curve types from non invasive acquisitions of the back surface of the trunk is proposed. One hundred and fifty-nine scoliosis patients had their back surface ...
Articulated Model Registration of MRI/X-Ray Spine Data
(Springer Berlin Heidelberg, 2010-06)
This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete ...