Scalable dental computing on cyberinfrastructure

Hui Zhang, Riqing Chen, Guangchen Ruan, Masatoshi Ando

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

Abstract

Dentistry is a particularly complex and sophisticated applied science; many problems have to be solved by analyzing intensive longitudinal data. For example, dynamic carious lesion assessment requires dental researchers to perform knowledge discovery in a situation with multiple specimens across different experimental phases. The technological development and availability of cyberinfrastructure today can enable dental researchers to perform existing procedures far faster and more accurately than ever. This paper uses dynamic carious lesion activity assessment as a case study, to illustrate how visual computing on advanced cyberinfrastructure can expand beyond statistical number crunching and information retrieval to make an imaginative and creative contribution to some aspects of dental science. Our work focuses on the generation of BIG pictures on cyberinfrastructure and the presentation of derived dental structures in an interactive means, which combine to allow researchers to navigate from observation to qualitative discovery and then to quantitative assessment with multiple variables and degrees of freedom. Our work has seen early use by our collaborators in oral health research, where our system has been used to pose and answer domain-specific questions for quantitative assessment of dynamic carious lesion activities.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2470-2478
Number of pages9
ISBN (Print)9781479999255
DOIs
StatePublished - Dec 22 2015
Event3rd IEEE International Conference on Big Data, IEEE Big Data 2015 - Santa Clara, United States
Duration: Oct 29 2015Nov 1 2015

Other

Other3rd IEEE International Conference on Big Data, IEEE Big Data 2015
CountryUnited States
CitySanta Clara
Period10/29/1511/1/15

Keywords

  • dentistry
  • interactive visualization
  • parallel computing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

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  • Cite this

    Zhang, H., Chen, R., Ruan, G., & Ando, M. (2015). Scalable dental computing on cyberinfrastructure. In Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 (pp. 2470-2478). [7364042] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2015.7364042