Abstract
The objective of this work is to provide a feasible study to develop an automatic segmentation of pedicles of vertebrae on X-ray images of scoliotic patients, with the ultimate goal of the extraction of high level primitives leading to an accurate 3D spine reconstruction based on stereo-radiographic views.
Our approach relies on coarse and fine parameter free segmentation. First, active contour is performed on a probability score table built from the input pedicle sub-space yielding to a coarse shape. The prior knowledge induced from the latter shape is introduced within a level set model to refine the segmentation, resulting in a fine shape.
For validation purposes, the result obtained by the estimation of the rotation of scoliotic deformations using the resulting fine shape is compared with a gold standard obtained by manual identification by an expert. The results are promising in finding the orientation of scoliotic deformations, and hence can be used for subsequent tools for clinicians.
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Doré, V., Duong, L., Cheriet, F., Cheriet, M. (2007). Towards Segmentation of Pedicles on Posteroanterior X-Ray Views of Scoliotic Patients. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2007. Lecture Notes in Computer Science, vol 4633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74260-9_91
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DOI: https://doi.org/10.1007/978-3-540-74260-9_91
Publisher Name: Springer, Berlin, Heidelberg
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