Template-matching-based tracking of cervical spines in videofluorography during swallowing

Kojiro Mekata, Hotaka Takizawa, Tomoyuki Takigawa, Kazukiyo Toda, Yasuo Ito, Hiroyuki Kudo

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

1 Citation (Scopus)

Abstract

In our previous study, we focused on the motion of cervical spines in video-fluorography (VF), and we revealed that the physiological lordosises were reduced during normal swallowing. In the study, cervical spines were required to be manually extracted in all the frames of VF. Therefore the study had a difficulty in performing the statistical analysis based on a large amount of patient data. The present study proposes an automatic tracking method of cervical spines in VF by use of the two-dimensional template matching technique. In the method, cervical spines can be extracted automatically, though templates should be set manually only in the first frame of VF. The automatic tracking method was applied to cervical spines, from C1 to C6, in actual VF of ten cases who were planned to undergo posterior cervical spinal fusion. The cervical spines were able to be tracked at the accuracy of more than 77% in the Jaccard index. The experimental results demonstrated that the proposed method was able to analyze the motion of cervical spines in VF during swallowing.

Original languageEnglish
Title of host publicationInnovation in Medicine and Healthcare 2017 - Proceedings of the 5th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2017
PublisherSpringer Science and Business Media Deutschland GmbH
Pages185-191
Number of pages7
Volume71
ISBN (Print)9783319593968
DOIs
Publication statusPublished - 2018
Event5th KES International Conference on Innovation in Medicine and Healthcare, InMed-17 2017 - Algarve, Portugal
Duration: Jun 21 2017Jun 23 2017

Publication series

NameSmart Innovation, Systems and Technologies
Volume71
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other5th KES International Conference on Innovation in Medicine and Healthcare, InMed-17 2017
CountryPortugal
CityAlgarve
Period6/21/176/23/17

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Keywords

  • Cervical spines
  • Swallowing
  • Tracking
  • Two-dimensional template matching
  • Videofluorography

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

Cite this

Mekata, K., Takizawa, H., Takigawa, T., Toda, K., Ito, Y., & Kudo, H. (2018). Template-matching-based tracking of cervical spines in videofluorography during swallowing. In Innovation in Medicine and Healthcare 2017 - Proceedings of the 5th KES International Conference on Innovation in Medicine and Healthcare, KES-InMed 2017 (Vol. 71, pp. 185-191). (Smart Innovation, Systems and Technologies; Vol. 71). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-59397-5_20