Texture analysis in quantitative osteoporosis assessment: characterizing microarchitecture

Authors:
Alexander Valentinitsch;Janina Patsch;Dirk Mueller;Franz Kainberger;Georg Langs
Affiliations:
Computational Image Analysis and Radiology Lab, Medical University of Vienna;Computational Image Analysis and Radiology Lab, Medical University of Vienna;Philips, Clinical Science, CT;Computational Image Analysis and Radiology Lab, Medical University of Vienna and Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology;Computational Image Analysis and Radiology Lab, Medical University of Vienna
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

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Abstract

The microarchitecture of the trabecular bone is an highly informative feature for osteoporosis assessment. High resolution peripheral quantitative computed tomography permits its in-vivo observation at a resolution of 82µm. In this paper we propose an approach that assesses bone microarchitecture based on texture features extracted from the trabecular bone. The method is based on three-dimensional texture features as local descriptors of the structure in the trabecular bone. A clustering in the feature space indicates characteristic classes of micro architecture that are repeatedly detected across subjects. The distribution of those classes allows for a differentiation between osteoporotic and healthy subjects. We report initial results for the repeatability of the method and its performance for the differentiation of healthy and osteoporotic subjects.