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Bone Reposition Planning for Corrective Surgery Using Statistical Shape Model: Assessment of Differential Geometrical Features

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Bayesian and grAphical Models for Biomedical Imaging

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8677))

Abstract

We discuss a new planning method for corrective osteotomy surgery without the need to make a CT scan of the contralateral bone. We use a statistical shape model to estimate the most likely relative position of two bone segments of an osteotomized bone. To investigate the added value of geometrical properties for planning, different geometrical features of the bone surface are being incorporated. The feasibility and accuracy of our proposed method are investigated using 10 virtually deformed radii and a statistical shape model based on 35 healthy radii.

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Sepasian, N., Van de Giessen, M., Dobbe, I., Streekstra, G. (2014). Bone Reposition Planning for Corrective Surgery Using Statistical Shape Model: Assessment of Differential Geometrical Features. In: Cardoso, M.J., Simpson, I., Arbel, T., Precup, D., Ribbens, A. (eds) Bayesian and grAphical Models for Biomedical Imaging. Lecture Notes in Computer Science, vol 8677. Springer, Cham. https://doi.org/10.1007/978-3-319-12289-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-12289-2_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12288-5

  • Online ISBN: 978-3-319-12289-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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