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Model-Based Image Segmentation for Image-Guided Interventions

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Image-Guided Interventions

Medical image segmentation plays an important role in the field of image-guided surgery and minimally invasive interventions. By creating three-dimensional anatomical models from individual patients, training, planning, and computer guidance during surgery can be improved. This chapter briefly describes the most frequently used image segmentation techniques, shows examples of their application and potential in the field of image-guided surgery and interventions, and discusses future trends.

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Authors and Affiliations

  1. Delft University of Technology, Netherlands

    Wiro Niessen

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  1. Wiro Niessen
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Editors and Affiliations

  1. University of Western Ontario, 100 Perth Drive, N6A 5K8, London, ON, Canada

    Terry Peters

  2. Imaging Science and Information Systems (ISIS) Center, 2115 Wisconsin Ave, 20057, Washington, DC, USA

    Kevin Cleary

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Niessen, W. (2008). Model-Based Image Segmentation for Image-Guided Interventions. In: Peters, T., Cleary, K. (eds) Image-Guided Interventions. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73858-1_8

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  • DOI: https://doi.org/10.1007/978-0-387-73858-1_8

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  • Online ISBN: 978-0-387-73858-1

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