Abstract
The goal of this research is to investigate the effectiveness of trabecular bone characterization in X-ray images acquired by consumer digital cameras from the radiological films by the joint use of fractal and statistic parameters. We propose the classification of patients in the pre- and post-menopausal groups, based on the trabecular structure of the calcaneum bone. The bone structure is locally characterized in clinically-significant regions of interest by the usual fractal dimension and a parametric model of the gray-level histogram. The classification yields a 8.33% miss-detection and 16.66% false alarm rate.
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Vertan, C., Ştefan, I., Florea, L. (2007). Detection of Postmenopausal Alteration of Bone Structure in Digitized X-rays. In: Kropatsch, W.G., Kampel, M., Hanbury, A. (eds) Computer Analysis of Images and Patterns. CAIP 2007. Lecture Notes in Computer Science, vol 4673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74272-2_35
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DOI: https://doi.org/10.1007/978-3-540-74272-2_35
Publisher Name: Springer, Berlin, Heidelberg
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