Semi-Automatic Vertebra Segmentation

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Author(s): Mohammed Benjelloun (Faculty of Engineering at Mons, Belgium)and Saïd Mahmoudi (Faculty of Engineering at Mons, Belgium)
Copyright: 2010
Pages: 15
Source title: Handbook of Research on Developments in E-Health and Telemedicine: Technological and Social Perspectives
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal), Antonio J. Tavares (Polytechnic Institute of Cavado and Ave, Portugal)and Ricardo Simoes (Polytechnic Institute of Cavado and Ave and University of Minho, Portugal)
DOI: 10.4018/978-1-61520-670-4.ch005

Keywords: Health Information Systems / Medical Information Science Reference / Medical Technologies / Medicine & Healthcare

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Abstract

The efficient content-based image retrieval of biomedical images is a challenging problem of growing interest in the research community. This book chapter describes a framework with two segmentation methods to analyze X-ray images of the spinal columns in order to extract vertebra regions and contours. The authors describe an application of the proposed methods which consists on an evaluation of vertebra motion induced by their movement between two or several positions. Their framework permits to extract the parameters determining vertebral mobility and its variation during flexion-extension movements. The first approach on our framework consists of a new contour vertebra detection technique using a polar signature system combined with a template matching process. This approach is based on a preliminary selection of vertebra regions. The second approach of our framework is based on automatic corner points of interest detection using the Harris corner detector.

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