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Computational Biomechanics for Medicine pp 139–146Cite as

Novel Monitoring Method of Proximal Caries Using Digital Subtraction Radiography

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Abstract

The objective of this study was to mark the points of emphasis in hidden dental caries from 15 subjects’ dental X-ray images. Each image is an 8-bit grayscale image taken by digital image radiography. For each caries lesion diagnosed, a mean pixel value was obtained in digital subtraction radiographs using a scale ranging from 0 to 255 gray values. Hence, the purpose of this study was to design a novel detection method of proximal caries, based on pixel gray values in digital subtraction radiography images from a patient’s single dental image, used for monitoring of dental caries. As a result, in digital subtraction radiography, the image is used to mark the points of emphasis in hidden dental caries using a novel detection method of proximal caries from a patient’s single dental image.

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Acknowledgment

This study was supported by the research fund from Seoul R&BD program (Grant # CR070054).

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Authors and Affiliations

  1. Department of Biomedical Engineering, School of Medicine, Kyung Hee University, Seoul, 130-702, Republic of Korea

    Jeong-Hoon Park, Gi-Ja Lee, Samjin Choi, Ji-Hye Park, Kyung-Sook Kim, Young-Ho Park & Hun-Kuk Park

  2. Healthcare Industry Research Institute, Kyung Hee University, Seoul, 130-702, Republic of Korea

    Hun-Kuk Park

  3. Department of Oral and Maxillofacial Radiology, School of Dentistry, Kyung Hee University, Seoul, 130-702, Republic of Korea

    Yong-Suk Choi

  4. Program of Medical Engineering, Kyung Hee University, Seoul, 130-702, Republic of Korea

    Hun-Kuk Park

  5. Healthcare Industry Research Institute, Seoul, 130-702, Republic of Korea

    Jeong-Hoon Park, Gi-Ja Lee, Samjin Choi, Ji-Hye Park, Kyung-Sook Kim & Young-Ho Park

Authors
  1. Jeong-Hoon Park
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  2. Yong-Suk Choi
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  3. Gi-Ja Lee
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  4. Samjin Choi
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  5. Ji-Hye Park
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  6. Kyung-Sook Kim
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  7. Young-Ho Park
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  8. Hun-Kuk Park
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Corresponding author

Correspondence to Hun-Kuk Park .

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Editors and Affiliations

  1. Intelligent Systems for Medicine Lab., The University of Western Australia, Stirling Highway 35, Crawley/Perth, 6009, Australia

    Karol Miller

  2. Bioengineering Institute, University of Auckland, Symonds Street 70, Auckland, 1030, New Zealand

    Poul M.F. Nielsen

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Park, JH. et al. (2010). Novel Monitoring Method of Proximal Caries Using Digital Subtraction Radiography. In: Miller, K., Nielsen, P. (eds) Computational Biomechanics for Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5874-7_15

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  • DOI: https://doi.org/10.1007/978-1-4419-5874-7_15

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-5873-0

  • Online ISBN: 978-1-4419-5874-7

  • eBook Packages: EngineeringEngineering (R0)

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