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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Vertan, C., Ştefan, I., & Florea, L. (2007). Detection of postmenopausal alteration of bone structure in digitized X-rays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4673 LNCS, pp. 278–284). Springer Verlag. https://doi.org/10.1007/978-3-540-74272-2_35
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