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Exploiting Image Processing and Geometric Analysis in Carious Lesion Assessment

Published: 10 July 2014 Publication History

Abstract

To advance our understanding of carious process and our ability to create effective caries treatments, cariologists need to mine, visualize, and analyze large dental imaging data. Cariologists often base their reporting on checking a large number of images, structuring and bringing all the needed information to them have become highly challenging. In this paper, we introduce a family of visual computing technologies for us to intuitively explore dental imaging data. We exploit image analysis, volumetric construction, and geometric analysis methods in particular to quantitatively assess dynamic carious lesion activities. In this way, cariologists can proceed to study families of dental domain-specific problems such as quantitative assessment of dynamic carious lesion activities and accurate measurement of the distance between the lesion and dental pulp in vivo.

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  1. Exploiting Image Processing and Geometric Analysis in Carious Lesion Assessment

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      cover image ACM Other conferences
      ICIMCS '14: Proceedings of International Conference on Internet Multimedia Computing and Service
      July 2014
      430 pages
      ISBN:9781450328104
      DOI:10.1145/2632856
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • NSF of China: National Natural Science Foundation of China
      • Beijing ACM SIGMM Chapter

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 10 July 2014

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      Author Tags

      1. Image Analysis
      2. Medical Imaging
      3. Surface Generation

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