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Visual Signal Quality Assessment pp 157–183Cite as

Recent Advances of Quality Assessment for Medical Imaging Systems and Medical Images

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Abstract

This chapter describes the importance of medical image quality assessment and reviews major factors used for characterizing physical properties of medical images. Recent trends in assessment of medical imaging systems and medical images are also addressed. We will begin with a brief review of the concepts and definitions of some conventional medical image quality metrics and then describe a recently proposed image quality metric. We also provide two clinical applications related to quality assessment for medical images. The first application deals with the improvement of image quality in mammography. The second application addresses the effect of radiation dose reduction on image quality in digital radiography.

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Acknowledgments

The authors would like to thank Dr. Haruyuki Watanabe for his contribution to the data acquisition experiments and cooperation in dose reduction studies. This research was supported in part by a Grant-in-Aid for Scientific Research (23602004) from the Japan Society for the Promotion of Sciences (JSPS).

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Authors and Affiliations

  1. Graduate School of Health Sciences, Niigata University, Niigata Prefecture, Niigata, 951-8518, Japan

    Du-Yih Tsai & Eri Matsuyama

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  1. Du-Yih Tsai
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  2. Eri Matsuyama
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Correspondence to Du-Yih Tsai .

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Editors and Affiliations

  1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

    Chenwei Deng

  2. Huawei Noah’s Ark Lab, Quarry Bay, Hong Kong SAR

    Lin Ma

  3. School of Computer Engineering, Nanyang Technological University, Singapore

    Weisi Lin

  4. Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR

    King Ngi Ngan

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Tsai, DY., Matsuyama, E. (2015). Recent Advances of Quality Assessment for Medical Imaging Systems and Medical Images. In: Deng, C., Ma, L., Lin, W., Ngan, K. (eds) Visual Signal Quality Assessment. Springer, Cham. https://doi.org/10.1007/978-3-319-10368-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-10368-6_6

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-10368-6

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