Exploiting HPC resources for the 3D-time series analysis of caries lesion activity

Hui Zhang, Robert Henschel, Huian Li, Eduardo Kazuo Kohara, Michael J. Boyles, Masatoshi Ando

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

2 Citations (Scopus)

Abstract

We present a research framework to analyze 3D-time series caries lesion activity based on collections of SkyScan® μ-CT images taken at different times during the dynamic caries process. Analyzing caries progression (or reversal) is data-driven and computationally demanding. It involves segmenting high-resolution μ-CT images, constructing 3D models suitable for interactive visualization, and analyzing 3D and 4D (3D + time) dental images. Our development exploits XSEDE's supercomputing, storage, and visualization resources to facilitate the knowledge discovery process. In this paper, we describe the required image processing algorithms and then discuss the parallelization of these methods to utilize XSEDE's high performance computing resources. We then present a workflow for visualization and analysis using ParaView. This workflow enables quantitative analysis as well as three-dimensional comparison of multiple temporal datasets from the longitudinal dental research studies. Such quantitative assessment and visualization can help us to understand and evaluate the underlying processes that arise from dental treatment, and therefore can have significant impact in the clinical decision-making process and caries diagnosis.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
DOIs
StatePublished - 2012
Event1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the Campus and Beyond, XSEDE12 - Chicago, IL, United States
Duration: Jul 16 2012Jul 19 2012

Other

Other1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the Campus and Beyond, XSEDE12
CountryUnited States
CityChicago, IL
Period7/16/127/19/12

Fingerprint

Time series analysis
Visualization
Data mining
Time series
Image processing
Decision making
Chemical analysis

Keywords

  • 3D-time series analysis
  • caries lesion activity
  • scientific visualization: HPC

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Zhang, H., Henschel, R., Li, H., Kohara, E. K., Boyles, M. J., & Ando, M. (2012). Exploiting HPC resources for the 3D-time series analysis of caries lesion activity. In ACM International Conference Proceeding Series https://doi.org/10.1145/2335755.2335815

Exploiting HPC resources for the 3D-time series analysis of caries lesion activity. / Zhang, Hui; Henschel, Robert; Li, Huian; Kohara, Eduardo Kazuo; Boyles, Michael J.; Ando, Masatoshi.

ACM International Conference Proceeding Series. 2012.

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

Zhang, H, Henschel, R, Li, H, Kohara, EK, Boyles, MJ & Ando, M 2012, Exploiting HPC resources for the 3D-time series analysis of caries lesion activity. in ACM International Conference Proceeding Series. 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the Campus and Beyond, XSEDE12, Chicago, IL, United States, 7/16/12. https://doi.org/10.1145/2335755.2335815
Zhang H, Henschel R, Li H, Kohara EK, Boyles MJ, Ando M. Exploiting HPC resources for the 3D-time series analysis of caries lesion activity. In ACM International Conference Proceeding Series. 2012 https://doi.org/10.1145/2335755.2335815
Zhang, Hui ; Henschel, Robert ; Li, Huian ; Kohara, Eduardo Kazuo ; Boyles, Michael J. ; Ando, Masatoshi. / Exploiting HPC resources for the 3D-time series analysis of caries lesion activity. ACM International Conference Proceeding Series. 2012.
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