DTI analysis methods: Region of interest analysis

Martijn Froeling*, Pim Pullens, Alexander Leemans

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationDiffusion Tensor Imaging
Subtitle of host publicationA Practical Handbook
EditorsWim van Hecke, Louise Emsell, Stefan Sunaert
PublisherSpringer New York
Number of pages8
ISBN (Electronic)9781493931187
ISBN (Print)9781493931170
Publication statusPublished - 1 Jan 2016


  • Pros and cons of ROI analysis
  • Atlas-based ROI analysis
  • Effect of motion and size on ROI results


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