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Cluster Computing

, Volume 17, Issue 3, pp 1069–1080 | Cite as

Development of Korean spine database and ontology for realizing e-Spine

  • Dongmin Seo
  • Hanmin Jung
  • Won-Kyung Sung
  • Sukil Kim
  • Sangho Lee
Article

Abstract

By 2026, Korea is expected to surpass the UNs definition of an aged society and reach the level of a super-aged society. As a result, degenerative spinal disease and the related surgical procedures will increase exponentially. To prevent unnecessary spinal surgery and support scientific diagnosis of spinal disease and systematic prediction of treatment effects, we have been developing e-Spine which is a computerized simulation model of human spines. In this paper, we present the Korean spine database and ontology that are used as a background data for realizing e-Spine. Generally, Korean physical function is different from foreign physical function. For example, ossification of posterior longitudinal ligament is only occurred in Asians. However, developed countries are currently constructing digital human data to improve the medical and biomedical researches, while the digital human data for Korean are inadequate. Therefore, we constructed Korean spine database on Korean with normal spine or degenerative spinal diseases. To date, we have collected spine data from 72 cadavers and 298 patients. The spine data consists of 2D images such as CT, MRI, or X-ray, 3D shapes, geometry data and property data. The volume and quality of Korean spine database are now the worlds highest. Also, we constructed spinal ontology to provide a wealth of information related to spine. The spinal ontology contains anatomy of spine, method of treatment, cause, classification information related to spine. Finally, we implemented a management service for efficiently searching and managing the data. As a result, our database and ontology will offer great value and utility in the diagnosis, treatment, and rehabilitation of patients suffering from spinal diseases.

Keywords

e-Spine Human spine Korean spine  Spine database Spinal ontology 

Notes

Acknowledgments

This work was supported by 2014 National Agenda Project (NAP) funded by Korea Research Council of Fundamental Science & Technology (NAP-09-2).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Dongmin Seo
    • 1
  • Hanmin Jung
    • 1
  • Won-Kyung Sung
    • 1
  • Sukil Kim
    • 2
  • Sangho Lee
    • 1
  1. 1.Software Research CenterKorea Institute of Science and Technology InformationDaejeonSouth Korea
  2. 2.College of MedicineThe Catholic UniversitySeoulSouth Korea

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