Dental informatics: integrating technology into the dental environment
Dental informatics: integrating technology into the dental environment
Cluster Analysis of Biomedical Image Time-Series
International Journal of Computer Vision
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Measuring Lesion Growth from 3D Medical Images
NAM '97 Proceedings of the 1997 IEEE Workshop on Motion of Non-Rigid and Articulated Objects (NAM '97)
Combining 2D and 3D views for orientation and relative position tasks
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Image segmentation by automatic histogram thresholding
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Remote large data visualization in the paraview framework
EG PGV'06 Proceedings of the 6th Eurographics conference on Parallel Graphics and Visualization
XSEDE-enabled high-throughput lesion activity assessment
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
Exploiting MapReduce and data compression for data-intensive applications
Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery
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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.