Computerized Medical Imaging and Graphics
Volume 25, Issue 6 , Pages 449-457, November 2001

Lipsia—a new software system for the evaluation of functional magnetic resonance images of the human brain

  • Gabriele Lohmann

      Affiliations

    • Max-Planck-Institute of Cognitive Neuroscience, Stephanstr. 1a, 04103 Leipzig, Germany
    • Corresponding Author InformationCorresponding author. Tel.: +49-341-9940217; fax: +49-341-9940221
    • ,
  • Karsten Müller

      Affiliations

    • Max-Planck-Institute of Cognitive Neuroscience, Stephanstr. 1a, 04103 Leipzig, Germany
    • ,
  • Volker Bosch

      Affiliations

    • Max-Planck-Institute of Cognitive Neuroscience, Stephanstr. 1a, 04103 Leipzig, Germany
    • ,
  • Heiko Mentzel

      Affiliations

    • Max-Planck-Institute of Cognitive Neuroscience, Stephanstr. 1a, 04103 Leipzig, Germany
    • ,
  • Sven Hessler

      Affiliations

    • Max-Planck-Institute of Cognitive Neuroscience, Stephanstr. 1a, 04103 Leipzig, Germany
    • ,
  • Lin Chen

      Affiliations

    • Max-Planck-Institute of Mathematics in the Sciences, Inselstr. 22, 04103 Leipzig, Germany
    • ,
  • S. Zysset

      Affiliations

    • Max-Planck-Institute of Mathematics in the Sciences, Inselstr. 22, 04103 Leipzig, Germany
    • ,
  • D.Yves von Cramon

      Affiliations

    • Max-Planck-Institute of Cognitive Neuroscience, Stephanstr. 1a, 04103 Leipzig, Germany

Received 20 October 2000; received in revised form 23 March 2001; accepted 23 March 2001.

Abstract 

This paper describes the non-commercial software system Lipsia that was developed for the processing of functional magnetic resonance images (fMRI) of the human brain. The analysis of fMRI data comprises various aspects including filtering, spatial transformation, statistical evaluation as well as segmentation and visualization. In Lipsia, particular emphasis was placed on the development of new visualization and segmentation techniques that support visualizations of individual brain anatomy so that experts can assess the exact location of activation patterns in individual brains. As the amount of data that must be handled is enormous, another important aspect in the development Lipsia was the efficiency of the software implementation. Well established statistical techniques were used whenever possible.

Keywords:  Functional magnetic resonance imaging (fMRI), Statistical evaluation, Visualization, Segmentation, Software systems

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PII: S0895-6111(01)00008-8

Computerized Medical Imaging and Graphics
Volume 25, Issue 6 , Pages 449-457, November 2001

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