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Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge

  • Conference paper
Computer Vision for Biomedical Image Applications (CVBIA 2005)

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

Abstract

Analysis of medical images, especially the extraction of anatomical structures, is a critical component of many medical applications: surgical planning and navigation, and population studies of anatomical shapes for tracking disease progression are two primary examples. We summarize recent trends in segmentation and analysis of shapes, highlighting how different sources of information have been factored into current approaches.

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Author information

Authors and Affiliations

  1. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA

    Eric Grimson & Polina Golland

Authors
  1. Eric Grimson
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  2. Polina Golland
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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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Grimson, E., Golland, P. (2005). Analyzing Anatomical Structures: Leveraging Multiple Sources of Knowledge. 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_2

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  • DOI: https://doi.org/10.1007/11569541_2

  • 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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