Detection of Postmenopausal Alteration of Bone Structure in Digitized X-rays
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.
KeywordsFractal Dimension Trabecular Bone Bone Structure High Resolution Compute Tomography Trabecular Bone Structure
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- 1.Bouxsein, M.L.: Mechanisms of osteoporosis therapy: a bone strength perspective. Clinical Cornerstone, pp, 13–21 (2003)Google Scholar
- 3.Link, T.M., Majumdar, S.: Current diagnostic techniques in the evaluation of bone architecture. Current Osteoporosis Reports, pp. 47–52 (2004)Google Scholar
- 8.Mandelbrot, B.B.: The Fractal Geometry of Nature. Freeman Publ., San Francisco CA (1983)Google Scholar
- 9.Vertan, C., Ionescu, B., Ştefan, I., Ciuc, M.: Osteoporosis Detection in Calcaneum X-Ray Images by Digital Image Processing: Fractal and Statistical Approaches. In: Interdisciplinary Applications of Fractal and Chaos Theory, pp. 264–273. Romanian Academy Publ., Bucharest, Romania (2004)Google Scholar