Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report

Xiao Ke Yang, Hakseung Kim, Seong Yi, Eun Jin Jeong, Dae Hyeon Park, Young Tak Kim, Hack Jin Lee, Dong Ju Kim

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

Abstract

Patients with spinal injury, acute or chronic, often show the morphological changes of spinal cord, vertebra or intervertebral discs. However the morphological measurements on such abnormalities are currently conduced manually by clinicians. In this preliminary study the feasibility of semiautomatic designation and segmentation of spinal cord and vertebra in magnetic resonance images is investigated.

Original languageEnglish
Title of host publication3rd International Winter Conference on Brain-Computer Interface, BCI 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781479974948
DOIs
Publication statusPublished - 2015 Mar 30
Event2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 - Gangwon-Do, Korea, Republic of
Duration: 2015 Jan 122015 Jan 14

Other

Other2015 3rd International Winter Conference on Brain-Computer Interface, BCI 2015
CountryKorea, Republic of
CityGangwon-Do
Period15/1/1215/1/14

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Keywords

  • Image analysis
  • magnetic resonance imaging
  • morphometry
  • myelopathy
  • spinal cord injury

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Cognitive Neuroscience
  • Sensory Systems

Cite this

Ke Yang, X., Kim, H., Yi, S., Jeong, E. J., Park, D. H., Kim, Y. T., Lee, H. J., & Kim, D. J. (2015). Semi-automatic designation and segmentation of vertebra and spinal cord in spinal MR imaging: A preliminary report. In 3rd International Winter Conference on Brain-Computer Interface, BCI 2015 [7073045] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWW-BCI.2015.7073045