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International Conference on Computer Vision, Virtual Reality, and Robotics in Medicine

CVRMed 1995: Computer Vision, Virtual Reality and Robotics in Medicine pp 237–241Cite as

Fast Segmentation of Brain Magnetic Resonance Tomograms

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 905))

Abstract

We describe a combination of a region growing and a watershed algorithm optimized for the detection of homogeneous structures in magnetic resonance (MR) volume datasets. No prior knowledge is used except a segment model. The adaptation to different data sets is controlled by parameters which can be determined interactively due to the high speed of the algorithm. Results are shown for the segmentation of the basal ganglia and the white matter of the brain.

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References

  1. Kruggel F, Horsch A, Mittelhäußer G, Schnabel M: “Image Processing in the Neurologic Sciences”, Proc. IEEE Workshop on Biomed. Image Analysis, Seattle, June 1994, pp. 214–223

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  2. Vincent I, Soille P: “Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations”, IEEE PAM, Vol. 13, No. 6, June 1991, pp. 583–598

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  3. Gambotto J P, Monga O: “A Parallel and Hierarchical Algorithm for Region Growing”, Proc. IEEE Conf. on Comp. Vision Pattern Recognition, 1985, pp. 649–652

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  4. Upson C, Keeler M: “V-Buffer: Visible Volume Rendering”, Computer Graphics, Vol. 22, No. 4, Aug. 1988, pp. 59–64

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Author information

Authors and Affiliations

  1. University of Kaiserslautern, 67663, Kaiserslautern, Germany

    Gangolf Mittelhäußer

  2. Technical University Munich, 81675, Munich, Germany

    Frithjof Kruggel

Authors
  1. Gangolf Mittelhäußer
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  2. Frithjof Kruggel
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Editor information

Editors and Affiliations

  1. INRIA, B. P. 93, F-06902, Sophia-Antipolis, France

    Nicholas Ayache

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© 1995 Springer-Verlag Berlin Heidelberg

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Mittelhäußer, G., Kruggel, F. (1995). Fast Segmentation of Brain Magnetic Resonance Tomograms. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_27

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  • DOI: https://doi.org/10.1007/978-3-540-49197-2_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59120-7

  • Online ISBN: 978-3-540-49197-2

  • eBook Packages: Springer Book Archive

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