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DTI Analysis Methods: Region of Interest Analysis

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Diffusion Tensor Imaging

Abstract

Region of interest (ROI) analysis is a widely used method for the analysis of DTI data. An anatomically defined region—either based on anatomical borders or a geometrical shape—is used to extract DTI measures for each subject, which can later be analyzed statistically. ROI analysis can be done either automatically by aligning all subjects to a template, or by manual delineation. In this chapter the basic principles of ROI analysis are discussed, as well as the appropriate use of ROI analysis and potential pitfalls. Finally some examples using real data are shown.

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Author information

Authors and Affiliations

  1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands

    Martijn Froeling PhD

  2. icometrix, Leuven, Belgium

    Pim Pullens PhD

  3. Department of Radiology, Antwerp University Hospital, University of Antwerp, Antwerp, Belgium

    Pim Pullens PhD

  4. PROVIDI Lab, Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands

    Alexander Leemans PhD

Authors
  1. Martijn Froeling PhD
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  2. Pim Pullens PhD
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  3. Alexander Leemans PhD
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Corresponding author

Correspondence to Martijn Froeling PhD .

Editor information

Editors and Affiliations

  1. icometrix; Department of Radiology, Department of Radiology, Antwerp University Hospital, Leuven, Antwerpen, Belgium

    Wim Van Hecke

  2. Departments of Translational MRI and Radiology, KU Leuven and University Hospitals Leuven, Leuven, Belgium

    Louise Emsell

  3. Departments of Translational MRI and Radiology, KU Leuven and University Hospitals Leuven, Leuven, Belgium

    Stefan Sunaert

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Froeling, M., Pullens, P., Leemans, A. (2016). DTI Analysis Methods: Region of Interest Analysis. In: Van Hecke, W., Emsell, L., Sunaert, S. (eds) Diffusion Tensor Imaging. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-3118-7_9

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  • DOI: https://doi.org/10.1007/978-1-4939-3118-7_9

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4939-3117-0

  • Online ISBN: 978-1-4939-3118-7

  • eBook Packages: MedicineMedicine (R0)

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