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Cluster Analysis of Multiparametric MR Imaging including ADC Maps and Relaxometry for Spatially High-Resolved Differentiation of Healthy and Ischemic Human Brain Tissue

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Angewandte Mathematik, insbesondere Informatik

Abstract

In experimental stroke models and ischemic human brain tissue the apparent diffusion coefficient (ADC) decreases in the acute phase, may normalize after reperfusion or may increase in the chronic stage, suggesting that the ADC may be used to monitor the physiologic state of affected tissue. However, a spatially high-resolved determination of the ADC for human brain tissue, required for the transfer of experimental results, is a complex task: (a) ischemic regions in human brain are often small, heterogeneous or irregularly shaped; (b) examination conditions and the complex human brain anatomy lead to widely scattered ADC values. To improve characterization of healthy and pathologic tissues, navigated diffusion-weighted images and ADC maps were incorporated in a new approach into a multidimensional parameter set of relaxation times (T1, T2) and T1-/T2-weighted images. Volunteers and patients with different neurologic deficits were examined. A supervised histogram-based analysis enabled the segmentation of healthy and pathologie tissue classes and the determination of their mean values and standard deviations. Healthy brain tissue was segmented by incorporating T1 relaxation in the data set. Acute and chronic ischemic regions were best differentiated by combining T2- or diffusion-weighted images with ADC maps. The results support findings that within the first week the mean ADC of human ischemic regions is reduced before approaching or exceeding normal values.

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Authors and Affiliations

  1. Departments of Medical Informatics, University Hospital Benjamin Franklin, Free University of Berlin, Germany

    Johannes Bernarding, Jürgen Braun, Joachim Hohmann & Thomas Tolxdorff

  2. Radiology and Nuclear Medicine, University Hospital Benjamin Franklin, Free University of Berlin, Germany

    Klaus-Jürgen Wolf

  3. Neurology (Stroke Unit), University Hospital Benjamin Franklin, Free University of Berlin, Germany

    Christian Stapf

  4. Max Planck Institute for Neurological Research, Cologne, Germany

    Mathias Hoehn-Berlage

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  1. Johannes Bernarding
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  2. Jürgen Braun
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  3. Joachim Hohmann
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  4. Mathias Hoehn-Berlage
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© 1999 Friedr. Vieweg & Sohn Verlagsgesellschaft mbH, Braunschweig/Wiesbaden

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Bernarding, J. et al. (1999). Cluster Analysis of Multiparametric MR Imaging including ADC Maps and Relaxometry for Spatially High-Resolved Differentiation of Healthy and Ischemic Human Brain Tissue. In: Horster, P. (eds) Angewandte Mathematik, insbesondere Informatik. Vieweg+Teubner Verlag. https://doi.org/10.1007/978-3-322-83092-0_3

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  • DOI: https://doi.org/10.1007/978-3-322-83092-0_3

  • Publisher Name: Vieweg+Teubner Verlag

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  • Online ISBN: 978-3-322-83092-0

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