Four-dimensional analysis of mandibular movements with optical position measuring and real-time imaging

Yuko Shigeta, Naoki Suzuki, Yoshito Otake, Asaki Hattori, Takumi Ogawa, Shunji Fukushima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Mandibular movement findings have not always been useful in clinical, even though measuring techniques have improved. This is because there is no method to evaluate condylar movement including the position of the temporal bone. In this study, we have attempted to apply 3-dimensional imaging to mandibular movement data, and have developed a 4-demensional analysis system representing mandibular movements. In this system, the mandibular movement can be observed in real-time by using the CT dataset from a volunteer. As a result the relationship between the mandibular movement and the anatomic structures becomes clear.

Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 11 - NextMed
Subtitle of host publicationHealth Horizon
PublisherIOS Press
Pages315-317
Number of pages3
ISBN (Print)1586033204, 9781586033200
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event11th Annual Medicine Meets Virtual Reality Conference, MMVR 2003 - Newport Beach, CA, United States
Duration: 2003 Jan 222003 Jan 25

Publication series

NameStudies in Health Technology and Informatics
Volume94
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference11th Annual Medicine Meets Virtual Reality Conference, MMVR 2003
CountryUnited States
CityNewport Beach, CA
Period03/1/2203/1/25

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Shigeta, Y., Suzuki, N., Otake, Y., Hattori, A., Ogawa, T., & Fukushima, S. (2003). Four-dimensional analysis of mandibular movements with optical position measuring and real-time imaging. In Medicine Meets Virtual Reality 11 - NextMed: Health Horizon (pp. 315-317). (Studies in Health Technology and Informatics; Vol. 94). IOS Press. https://doi.org/10.3233/978-1-60750-938-7-315