Future perspectives on statistical shape models in computer-aided orthopedic surgery: Beyond statistical shape models and on to Big Data

Leo Joskowicz*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Statistical shape modeling (SSM) of bone surfaces is now the state of practice in industry and is gaining relevance in the clinical setting. In this chapter, we review the main technical, clinical, and scientific uses of SSMs and their associated techniques. We then survey the leading companies that use SMMs and related modeling techniques as part of their core technology to provide a variety of services and discuss three key issues they raise: What is the scope of SSM generation methodologies? How should the resulting SSMs be validated? How can the individual surface models and SSMs be made available to the community? We conclude with considerations of the main challenges that lie ahead for SSMs and the expected effect of "Big Data" on them.

Original languageAmerican English
Title of host publicationComputer Assisted Orthopaedic Surgery for Hip and Knee
Subtitle of host publicationCurrent State of the Art in Clinical Application and Basic Research
PublisherSpringer Singapore
Pages199-206
Number of pages8
ISBN (Electronic)9789811052453
ISBN (Print)9789811052446
DOIs
StatePublished - 10 Apr 2018

Bibliographical note

Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2018. All rights reserved.

Keywords

  • Computer-aided orthopedic surgery
  • Future assessment
  • State-of-the-art review
  • Statistical shape models

Fingerprint

Dive into the research topics of 'Future perspectives on statistical shape models in computer-aided orthopedic surgery: Beyond statistical shape models and on to Big Data'. Together they form a unique fingerprint.

Cite this