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

Fingerprint

Dentistry
Information retrieval
Data mining
Health
Availability

Keywords

  • dentistry
  • interactive visualization
  • parallel computing

ASJC Scopus subject areas

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

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

Scalable dental computing on cyberinfrastructure. / Zhang, Hui; Chen, Riqing; Ruan, Guangchen; Ando, Masatoshi.

Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2470-2478 7364042.

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

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., 7364042, Institute of Electrical and Electronics Engineers Inc., pp. 2470-2478, 3rd IEEE International Conference on Big Data, IEEE Big Data 2015, Santa Clara, United States, 10/29/15. https://doi.org/10.1109/BigData.2015.7364042
Zhang H, Chen R, Ruan G, Ando M. Scalable dental computing on cyberinfrastructure. In Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 2470-2478. 7364042 https://doi.org/10.1109/BigData.2015.7364042
Zhang, Hui ; Chen, Riqing ; Ruan, Guangchen ; Ando, Masatoshi. / Scalable dental computing on cyberinfrastructure. Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 2470-2478
@inproceedings{5f1df1fa08534c85b723f5487756551c,
title = "Scalable dental computing on cyberinfrastructure",
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.",
keywords = "dentistry, interactive visualization, parallel computing",
author = "Hui Zhang and Riqing Chen and Guangchen Ruan and Masatoshi Ando",
year = "2015",
month = "12",
day = "22",
doi = "10.1109/BigData.2015.7364042",
language = "English (US)",
isbn = "9781479999255",
pages = "2470--2478",
booktitle = "Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Scalable dental computing on cyberinfrastructure

AU - Zhang, Hui

AU - Chen, Riqing

AU - Ruan, Guangchen

AU - Ando, Masatoshi

PY - 2015/12/22

Y1 - 2015/12/22

N2 - 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.

AB - 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.

KW - dentistry

KW - interactive visualization

KW - parallel computing

UR - http://www.scopus.com/inward/record.url?scp=84963768201&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84963768201&partnerID=8YFLogxK

U2 - 10.1109/BigData.2015.7364042

DO - 10.1109/BigData.2015.7364042

M3 - Conference contribution

SN - 9781479999255

SP - 2470

EP - 2478

BT - Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015

PB - Institute of Electrical and Electronics Engineers Inc.

ER -