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Detection of Postmenopausal Alteration of Bone Structure in Digitized X-rays

  • Constantin Vertan
  • Ion Ştefan
  • Laura Florea
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)

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.

Keywords

Fractal Dimension Trabecular Bone Bone Structure High Resolution Compute Tomography Trabecular Bone Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Constantin Vertan
    • 1
  • Ion Ştefan
    • 2
  • Laura Florea
    • 1
  1. 1.Image Processing and Analysis Laboratory, University “Politehnica” of BucharestRomania
  2. 2.Baia Mare County HospitalRomania

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