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Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection

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Health Informatics Data Analysis

Part of the book series: Health Information Science ((HIS))

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Abstract

With the advent of digital imaging, thousands of medical images are captured and stored for future reference. In addition to recording medical history of a patient, these images are a rich source of information about disease-related markers. To extract robust and informative imaging markers, we need to regulate image quality, extract image features, select useful features, and validate them. Research and development of these computational methods fall under the science of biomedical imaging informatics. In this chapter, we discuss challenges and techniques of biomedical imaging informatics in the context of imaging marker extraction.

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Authors and Affiliations

  1. The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, 313 Ferst Dr, UA Whitaker Bldg., Suite 4106, Atlanta, GA, 30332, USA

    Sonal Kothari Phan, Ryan Hoffman & May D. Wang

  2. School of Electrical and Computer Engineering, Winship Cancer Institute, Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology and Emory University, Atlanta, GA, USA

    May D. Wang

Authors
  1. Sonal Kothari Phan
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  2. Ryan Hoffman
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  3. May D. Wang
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Correspondence to May D. Wang .

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Editors and Affiliations

  1. Digital Biology Laboratory, Computer Science Department, University of Missouri-Columbia, Columbia, Missouri, USA

    Dong Xu

  2. Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA

    May D. Wang

  3. College of Computer Science and Technology, Jilin University, Changchun, China

    Fengfeng Zhou

  4. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China

    Yunpeng Cai

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Phan, S.K., Hoffman, R., Wang, M.D. (2017). Biomedical Imaging Informatics for Diagnostic Imaging Marker Selection. In: Xu, D., Wang, M., Zhou, F., Cai, Y. (eds) Health Informatics Data Analysis. Health Information Science. Springer, Cham. https://doi.org/10.1007/978-3-319-44981-4_8

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