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Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?

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Computer Vision for Biomedical Image Applications (CVBIA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3765))

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Abstract

A decade ago, cardiovascular image analysis very much meant the application of image analysis methods to a cardiac image sequence obtained from a friendly cardiologist. 10 years on, have things changed? In this short paper, I overview research conducted in Oxford in the area of cardiovascular image analysis over this period, aimed at developing clinically useful methods for diagnosing heart disease. This has mainly concerned echocardiography (ultrasound imaging of the heart). I also consider how this area may develop in the future and the influence that computer vision may have on this development.

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Author information

Authors and Affiliations

  1. Wolfson Medical Vision Laboratory, Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, UK

    J. Alison Noble

Authors
  1. J. Alison Noble
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Editor information

Editors and Affiliations

  1. School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA

    Yanxi Liu

  2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, 100080, Beijing, People’s Republic of China

    Tianzi Jiang

  3. State Key Laboratory for Intelligent Technology and Systems, Department of Automation, Faculty of Information Science and Technology, Tsinghua University, 100084, Beijing, China

    Changshui Zhang

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© 2005 Springer-Verlag Berlin Heidelberg

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Noble, J.A. (2005). Cardiology Meets Image Analysis: Just an Application or Can Image Analysis Usefully Impact Cardiology Practice?. In: Liu, Y., Jiang, T., Zhang, C. (eds) Computer Vision for Biomedical Image Applications. CVBIA 2005. Lecture Notes in Computer Science, vol 3765. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11569541_5

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  • DOI: https://doi.org/10.1007/11569541_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29411-5

  • Online ISBN: 978-3-540-32125-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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