ÖFFENTLICHES ICH
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Publikationen
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G. H. Bendels, R. Klein, M. Samimi, A. Schmitz "Statistical
Shape Analysis for Computer Aided Spine Deformity
Detection", Vaclav Skala, editor(s), in Journal of
WSCG, Vol. 13, No. 2, UNION Agency-Science Press, ISSN
1213-6972, February 2005, pages 57-64
paper bibtex-Eintrag
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In this paper we
describe a medical application where we exploit surface
properties (measured in form of 3D-Range scans of the
human back) to derive a-priori unknown additional
properties of the proband, that otherwise can only be
acquired using multiple x-ray recordings or volumetric
scans as CT or MRI. On the basis of 274 data sets, we
perform classification using statistical shape analysis
methods. Consistent parameterization and alignment is
achieved on the basis of only few anatomic landmarks. As
our choice of landmarks is easy to detect on the human
body, our approach is feasible for screening
applications that can be expected to have much impact on
the early detection and later treatment of spine
deformations, in particular scoliosis. |
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