Talks and Poster Presentations (with Proceedings-Entry):
R. Monetti, I. Sidorenko, C. Räth, J.S. Bauer, D. Müller, E. Rummeny, M. Matsuura, E.M. Lochmüller, F. Eckstein, P.K. Zysset:
"Structure-Based Classification of μ-CT Images of Human Bone Using Local Minkowski Functionals";
Talk: SPIE Conference on Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging,
San Diego, CA;
02-04-2011
- 02-09-2011; in: "Medical Imaging 2011: Biomedical Applications in Molecular, Structural and Functional Imaging, SPIE 7695",
J.B. Weaver, R.C. Molthen (ed.);
SPIE,
Bellingham, WA
(2011),
ISBN: 9780819485076.
English abstract:
We analyse μ-CT tomographic images of human trabecular bone in vitro. We consider a sample consisting of 201 bone specimens harvested from six different skeletal sites within a narrow range of bone fraction values. Using the characterization of the trabecular bone network given by local Minkowski Functionals, we apply classification algorithms in order to reveal structural similarities in the sample. Clusters show some interesting specific structural features, like compact, porous, and fragmented structures. The contribution of the different skeletal sites to these clusters indicate some variability due to intrinsic structural differences of the specific skeletal site.
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1117/12.878688