Abstract
Automated identification of vertebra bodies from medical images is important for further image processing tasks. This paper presents a graphical model based solution for the vertebra identification from X-ray images. Compared with the existing graphical model based methods, the proposed method does not ask for a training process using training data and it also has the capability to automatically determine the number of vertebrae visible in the image. Experiments on digitially reconstructed radiographs of twenty-one cadaver spine segments verified its performance.
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Dong, X., Zheng, G. (2010). Automated Vertebra Identification from X-Ray Images. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13775-4_1
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DOI: https://doi.org/10.1007/978-3-642-13775-4_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13774-7
Online ISBN: 978-3-642-13775-4
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