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Bildverarbeitung für die Medizin 2006 pp 81–85Cite as

Efficient Atlas-Based Analysis of the Hippocampus

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

Abstract

Volumetric approaches for the analysis of hippocampal structures (HS) are required for the diagnosis of different diseases. In order to diagnose, evaluate and compare patient datasets, standardized and reproducible analysis supports physicians in clinical routine and research. In this paper, we present a practical application for volumetry in MR volume datasets. The approach combines the semiautomatic linear registration of an atlas based polygonal model with T1-weighted (based on inversion recovery protocol) and T2-weighted MR images and the automatic volumetric assessment of diseased structures. The approach was evaluated and compared with manually segmented MR datasets.

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Author information

Authors and Affiliations

  1. Computer Graphics Group, University of Erlangen-Nuremberg, Germany

    S. Iserhardt-Bauer, S. Schoell & P. Hastreiter

  2. Neurocenter, Department of Neurosurgery, University of Erlangen-Nuremberg, Germany

    S. Iserhardt-Bauer, S. Schoell & P. Hastreiter

  3. Epilepsy Center, Department of Neurology, University of Erlangen-Nuremberg, Germany

    T. Hammen & H. Stefan

  4. Division of Neuroradiology, University of Erlangen-Nuremberg, Germany

    A. Doerfler

Authors
  1. S. Iserhardt-Bauer
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  2. S. Schoell
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  3. T. Hammen
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  4. H. Stefan
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  5. A. Doerfler
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  6. P. Hastreiter
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Editor information

Editors and Affiliations

  1. Institut für Medizinische Informatik, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg

    Heinz Handels  & Jan Ehrhardt  & 

  2. Institut für Medizinische Statistik und Epidemiologie, Technische Universität München, Klinikum rechts der Isar, Ismaninger Straße 22, 81675, München

    Alexander Horsch

  3. Abteilung für Medizinische und Biologische Informatik / H0100, Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120, Heidelberg

    Hans-Peter Meinzer

  4. Institut für Medizinische Informatik, Biometrie und Epidemiologie Campus Benjamin Franklin, Charité — Universitätsmedizin Berlin, Hindenburgdamm 30, 12000, Berlin

    Thomas Tolxdorff

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© 2006 Springer-Verlag Berlin Heidelberg

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Iserhardt-Bauer, S., Schoell, S., Hammen, T., Stefan, H., Doerfler, A., Hastreiter, P. (2006). Efficient Atlas-Based Analysis of the Hippocampus. In: Handels, H., Ehrhardt, J., Horsch, A., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2006. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32137-3_17

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