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Groupwise Spectral Log-Demons Framework for Atlas Construction

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Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging (MCV 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7766))

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Abstract

We introduce a new framework to construct atlases from images with very large and complex deformations. The atlas is build in parallel with groupwise registrations by extending the symmetric Log-Demons algorithm. We describe and evaluate two forms of our framework: the Groupwise Log-Demons (GL-Demons) is faster but is limited to local nonrigid deformations, and the Groupwise Spectral Log-Demons (GSL-Demons) is slower but, due to isometry-invariant representations of images, can construct atlases of organs with high shape variability. We demonstrate our framework by constructing atlases from hearts with high shape variability.

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Author information

Authors and Affiliations

  1. Ecole Polytechnique de Montreal, Canada

    Herve Lombaert & Farida Cheriet

  2. INRIA Sophia Antipolis, France

    Herve Lombaert, Xavier Pennec & Nicholas Ayache

  3. Siemens Corporate Research, Princeton, NJ, USA

    Leo Grady

  4. Siemens Molecular Imaging, Oxford, UK

    Jean-Marc Peyrat

Authors
  1. Herve Lombaert
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  2. Leo Grady
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  3. Xavier Pennec
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  4. Jean-Marc Peyrat
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  5. Nicholas Ayache
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  6. Farida Cheriet
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Editor information

Editors and Affiliations

  1. Computer Vision Lab., ETH Zurich, Switzerland

    Bjoern H. Menze

  2. Computational Image Analysis and Radiology Lab Department of Radiology, Medical University of Vienna, Austria

    Georg Langs

  3. Siemens Corporate Research, 755 College Road East, 08540, Princeton, NJ, USA

    Le Lu

  4. GE Global Research, 1 Research Circle, 12309, Niskayuna, NY, USA

    Albert Montillo

  5. Lab of Neuro Imaging, Department of Neurology and Department of Computer Science, UCLA, USA

    Zhuowen Tu

  6. Microsoft Research, Cambridge, UK

    Antonio Criminisi

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Lombaert, H., Grady, L., Pennec, X., Peyrat, JM., Ayache, N., Cheriet, F. (2013). Groupwise Spectral Log-Demons Framework for Atlas Construction. In: Menze, B.H., Langs, G., Lu, L., Montillo, A., Tu, Z., Criminisi, A. (eds) Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging. MCV 2012. Lecture Notes in Computer Science, vol 7766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36620-8_2

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  • DOI: https://doi.org/10.1007/978-3-642-36620-8_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36619-2

  • Online ISBN: 978-3-642-36620-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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