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Quantifying Differences Between Primary Cortical Areas in Humans Based on Laminar Profiles in In-Vivo MRI Data

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Bildverarbeitung für die Medizin 2013

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

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Zusammenfassung

This paper presents an approach for map** the human cortical architecture in vivo based on quantitative MRI indices of myelin. We automatically construct laminar profiles in several primary cortical areas and investigate different sampling strategies. The results demonstrate that our method is able to distinguish these areas at specific cortical depths.

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Author information

Authors and Affiliations

  1. Max Planck Institute of Cognitive and Brain Science, Stephanstr. 1a, 04103, Leipzig, Deutschland

    Juliane Dinse, Pablo Martin, Andreas Schäfer, Stefan Geyer, Robert Turner & Pierre-Louis Bazin

  2. Simulation and Graphics Department, Faculty of Computer Science, Otto-von-Guericke University Magdeburg, Magdeburg, Deutschland

    Juliane Dinse

Authors
  1. Juliane Dinse
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  2. Pablo Martin
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  3. Andreas Schäfer
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  4. Stefan Geyer
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  5. Robert Turner
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  6. Pierre-Louis Bazin
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Corresponding author

Correspondence to Juliane Dinse .

Editor information

Editors and Affiliations

  1. Abt. Med./Biol.Inform./H0100, Deutsches Krebsforschungzentrum (DKFZ), Im Neuenheimer Feld 280, Heidelberg, 69120, Germany

    Hans-Peter Meinzer

  2. Inst. Medizinische Informatik, RWTH Aachen, Pauwelsstr. 30, Aachen, 52074, Germany

    Thomas Martin Deserno

  3. , Institut für Medizinische Informatik, Universität zu Lübeck, Ratzeburger Allee 160, Lübeck, 23562, Germany

    Heinz Handels

  4. Charité Campus Benjamin Franklin, Inst. Medizinische Informatik,, Universitätsklinikum Berlin, Hindenburgdamm 30, Berlin, 12200, Berlin, Germany

    Thomas Tolxdorff

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Dinse, J., Martin, P., Schäfer, A., Geyer, S., Turner, R., Bazin, PL. (2013). Quantifying Differences Between Primary Cortical Areas in Humans Based on Laminar Profiles in In-Vivo MRI Data. In: Meinzer, HP., Deserno, T., Handels, H., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2013. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36480-8_9

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