Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-03767-2_79
Title: Modeling and measurement of 3D deformation of scoliotic spine using 2D X-ray images
Authors: Li, H.
Leow, W.K. 
Huang, C.-H. 
Howe, T.S.
Keywords: 3D reconstruction
Cosserat rod
Deformation
Modeling and measurement
Scoliosis
Spine
Issue Date: 2009
Source: Li, H.,Leow, W.K.,Huang, C.-H.,Howe, T.S. (2009). Modeling and measurement of 3D deformation of scoliotic spine using 2D X-ray images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5702 LNCS : 647-654. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-03767-2_79
Abstract: Scoliosis causes deformations such as twisting and lateral bending of the spine. To correct scoliotic deformation, the extents of 3D spinal deformation need to be measured. This paper studies the modeling and measurement of scoliotic spine based on 3D curve model. Through modeling the spine as a 3D Cosserat rod, the 3D structure of a scoliotic spine can be recovered by obtaining the minimum potential energy registration of the rod to the scoliotic spine in the x-ray image. Test results show that it is possible to obtain accurate 3D reconstruction using only the landmarks in a single view, provided that appropriate boundary conditions and elastic properties are included as constraints. © 2009 Springer Berlin Heidelberg.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/39990
ISBN: 3642037666
ISSN: 03029743
DOI: 10.1007/978-3-642-03767-2_79
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