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Computer-Aided Image Analysis for Vertebral Anatomy on X-Ray CT Images

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Computational Intelligence in Biomedical Imaging

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Abstract

Osteoporosis has become an increasingly important public health problem because of the rapidly aging populations. To obtain the sophisticated knowledge on normal vertebral anatomy is essential to understand the vertebral fracture risk. Multi-detector row computed tomography (MDCT) method can be used for quantitative analysis of vertebral anatomy such as volumetric bone mineral density (vBMD), geometry, and alignment with high accuracy and precision from the same dataset. This chapter described our latest two findings on statistical analysis and image analysis for vertebral anatomy by use of the image processing technique on the MDCT scanning. One was the population-based statistical analysis on vBMD at vertebrae. It showed the trabecular vBMD distribution at healthy thoracic and lumbar vertebrae in Japanese subjects and specific differences in age and gender. The other presented a computerized scheme to quantify the vertebral geometry. The scheme provided appropriate values on the vertebral geometry with numerous CT cases. It is likely that such computer-based attempts will help us to achieve the sophisticated vertebral anatomy.

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Acknowledgments

The authors thank members of the Fujita Laboratory for their valuable discussion and are grateful to Gifu University Hospital staff for preparing the CT cases, especially to Dr. Kamiya N, Mr. Miyoshi T, Mr. Inoue Y, Dr. Yokoyama R, Dr. Kanematsu M, and Dr. Hoshi H. This research was supported in part by a research grant of Grant-in-Aid for Young Scientists B (21700462) from Japan Society for the Promotion of Science (JSPS), in part by a research grant from Japan Osteoporosis Foundation, and in part by a research grant of Grant-in-Aid for Scientific Research on Priority Areas (21103004) of the Ministry of Education, Culture, Sports, Science, and Technology, Japan.

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Authors and Affiliations

  1. Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, Gifu, 501-1194, Japan

    T. Hayashi, X. Zhou, T. Hara & H. Fujita

  2. Media Co., Ltd, NREG Hongo Sanchome Bldg 8F, 3-26-6 Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan

    T. Hayashi

  3. Department of Anatomy, Division of Disease Control, Graduate School of Medicine, Gifu University, Gifu, Japan

    H. Chen

  4. Department of Reconstructive Surgery for Spine, Bone, and Joint, Graduate School of Medicine, Gifu University, Gifu, Japan

    K. Miyamoto

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  1. T. Hayashi
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  3. K. Miyamoto
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  4. X. Zhou
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Correspondence to H. Fujita .

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Editors and Affiliations

  1. Department of Radiology, University of Chicago, Chicago, Illinois, USA

    Kenji Suzuki

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Hayashi, T., Chen, H., Miyamoto, K., Zhou, X., Hara, T., Fujita, H. (2014). Computer-Aided Image Analysis for Vertebral Anatomy on X-Ray CT Images. In: Suzuki, K. (eds) Computational Intelligence in Biomedical Imaging. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7245-2_7

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  • DOI: https://doi.org/10.1007/978-1-4614-7245-2_7

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