Abstract
This article describes the problem of segmentation of the spine for lateral C spine radiographs. In this case, the most frequently used approach is the Active Shape Model. The use of the Active Appearance Model is considered in this paper. Segmentation quality of sample data is tested for selected preprocessing and predetecting edge algorithms: Sobel filter, Canny edge detection algorithm, and Statistical Dominance Algorithm. The particularly important issue of precise description of contours is considered and partially tested. The aim is to deliver a good quality preliminary step to syntactic analysis of vertebrae using the generalized shape language.
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Acknowledgements
This work was co-financed by the AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Department of Geoinformatics and Applied Computer Science as a part of statutory project.
This work was co-financed by statutory funds for young researchers (BKM/507/RAU2/2016) of the Institute of Informatics, Silesian University of Technology, Poland.
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Nurzynska, K. et al. (2018). Automatical Syndesmophyte Contour Extraction from Lateral C Spine Radiographs. In: Augustyniak, P., Maniewski, R., Tadeusiewicz, R. (eds) Recent Developments and Achievements in Biocybernetics and Biomedical Engineering. PCBBE 2017. Advances in Intelligent Systems and Computing, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-319-66905-2_14
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DOI: https://doi.org/10.1007/978-3-319-66905-2_14
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