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Application of Statistical Shape Modeling for CAOS: A Tutorial

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Computer Assisted Orthopaedic Surgery for Hip and Knee

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Abstract

Statistical shape models (SSMs) are useful for representing intersubject variabilities of anatomical shapes and anatomical shape deformations specific to diseases (e.g., osteoarthritis) as well as preoperative planning of anatomical reconstructive surgery (e.g., fracture reduction and arthroplasty). This chapter presents the mathematical foundations of such applications for SSMs, especially aiming at intuitive understanding of the role of SSMs in Bayes estimation, which is a basic framework of various estimations and prediction problems, including anatomical reconstruction and diagnostic/therapeutic applications.

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Authors and Affiliations

  1. Nara Institute of Science and Technology, Ikoma, Nara, Japan

    Yoshinobu Sato

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  1. Yoshinobu Sato
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Correspondence to Yoshinobu Sato .

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Editors and Affiliations

  1. Department of Orthopaedic Medical Engineering, Osaka University Graduate School of Medicine, Suita, Osaka, Japan

    Nobuhiko Sugano

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Sato, Y. (2018). Application of Statistical Shape Modeling for CAOS: A Tutorial. In: Sugano, N. (eds) Computer Assisted Orthopaedic Surgery for Hip and Knee. Springer, Singapore. https://doi.org/10.1007/978-981-10-5245-3_14

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  • DOI: https://doi.org/10.1007/978-981-10-5245-3_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5244-6

  • Online ISBN: 978-981-10-5245-3

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