- Title
- Non-rigid surface matching to unmask scoliotic deformity in surface topography
- Creator
- Ang, Kim Siang
- Relation
- 6th International Symposium on Image and Signal Processing and Analysis, 2009 (ISPA '09). ISPA 2009: Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis (Salzburg, Austria 16-18 September, 2009) p. 206-211
- Relation
- http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5297749
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2009
- Description
- A method is currently being developed for automatically modelling deformations that occur on a scoliosis patient's back over a period of time. The classic rigid matching of two measured back shapes to quantify the deformations that has occurred, suffers from the difficulty that the differences between the two backs are generally too large for matching to be effective. That is, we are typically trying to align two surfaces which are too different to be aligned. We proposed a novel non-rigid matching based on least squares approach to model the surface deformations due to scoliosis. New parameters have been investigated and incorporated into the matching algorithm. They are three scales and six shears non-rigid parameters. A 3D laser scanner is used to capture patient back scans and generated into surface topography. The surfaces are automatically matched by a least squares non-rigid matching algorithm implemented in MATLAB. Experiments on various scoliosis data demonstrate that this non-rigid matching algorithm is feasible and favourable for scoliosis deformations modelling.
- Subject
- scoliosis data; scoliosis deformation modelling; patient back scan; scoliotic deformity; surface topography
- Identifier
- http://hdl.handle.net/1959.13/918670
- Identifier
- uon:8684
- Identifier
- ISBN:9789531841351
- Rights
- Copyright © 2009 IEEE. Reprinted from ISPA 2009: Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
- Language
- eng
- Full Text
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