DTI analysis methods: Region of interest analysis

Martijn Froeling; Pim Pullens; Alexander Leemans

doi:10.1007/978-1-4939-3118-7_9

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 proceeding › Chapter › Academic › peer-review

2 Citations (Scopus)

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.

Original language	English
Title of host publication	Diffusion Tensor Imaging
Subtitle of host publication	A Practical Handbook
Editors	Wim van Hecke, Louise Emsell, Stefan Sunaert
Publisher	Springer New York
Pages	175-182
Number of pages	8
ISBN (Electronic)	9781493931187
ISBN (Print)	9781493931170
DOIs	https://doi.org/10.1007/978-1-4939-3118-7_9
Publication status	Published - 1 Jan 2016

Keywords

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

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10.1007/978-1-4939-3118-7_9

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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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AB - 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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KW - Effect of motion and size on ROI results

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A2 - Emsell, Louise

A2 - Sunaert, Stefan

PB - Springer New York

ER -

DTI analysis methods: Region of interest analysis

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Keywords

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