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Fully-Deformable 3D Image Registration in Two Seconds

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Bildverarbeitung für die Medizin 2019

Part of the book series: Informatik aktuell ((INFORMAT))

Zusammenfassung

We present a highly parallel method for accurate and efficient variational deformable 3D image registration on a consumer-grade graphics processing unit (GPU). We build on recent matrix-free variational approaches and specialize the concepts to the massively-parallel manycore architecture provided by the GPU. Compared to a parallel and optimized CPU implementation, this allows us to achieve an average speedup of 32:53 on 986 real-world CT thorax-abdomen follow-up scans. At a resolution of approximately 2563 voxels, the average runtime is 1:99 seconds for the full registration. On the publicly available DIR-lab benchmark, our method ranks third with respect to average landmark error at an average runtime of 0:32 seconds.

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Literatur

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Medical Image Computing (MEVIS), Lübeck, Deutschland

    Daniel Budelmann, Lars König & Nils Papenberg

  2. Institute of Mathematics and Image Computing, Universität zu Lübeck, Lübeck, Deutschland

    Jan Lellmann

Authors
  1. Daniel Budelmann
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  2. Lars König
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  3. Nils Papenberg
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  4. Jan Lellmann
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Corresponding author

Correspondence to Daniel Budelmann .

Editor information

Editors and Affiliations

  1. Universität zu Lübeck, Institut für Medizinische Informatik, Lübeck, Germany

    Heinz Handels

  2. Peter-L. Reichertz Inst. f. Med. Inf., Technische Univ. Braunschweig, Braunschweig, Niedersachsen, Germany

    Thomas M. Deserno

  3. Lehrstuhl für Mustererkennung, Friedrich-Alexander-Universität, Erlangen, Germany

    Andreas Maier

  4. Medical Image Computing, E230, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany

    Klaus Hermann Maier-Hein

  5. Fak. f. Informatik u. Mathematik, OTH Regensburg, Regensburg, Germany

    Christoph Palm

  6. Inst. f. Med. Informatik, Charité - Universitätsmedizin Berlin, Berlin, Berlin, Germany

    Thomas Tolxdorff

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© 2019 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

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Budelmann, D., König, L., Papenberg, N., Lellmann, J. (2019). Fully-Deformable 3D Image Registration in Two Seconds. In: Handels, H., Deserno, T., Maier, A., Maier-Hein, K., Palm, C., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2019. Informatik aktuell. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-25326-4_67

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