Show Summary Details
Page of

Strategies for Patient–Control Comparison of Diffusion MR Data 

Strategies for Patient–Control Comparison of Diffusion MR Data
Strategies for Patient–Control Comparison of Diffusion MR Data

Mara Cercignani

Page of

PRINTED FROM OXFORD MEDICINE ONLINE ( © Oxford University Press, 2016. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a title in Oxford Medicine Online for personal use (for details see Privacy Policy and Legal Notice).

date: 22 April 2018

This chapter summarizes the main strategies for patient-control comparison of diffusion MRI data, including region of interest (ROI), histogram, voxel based analyses, and tractography. For each approach, a brief overview of the methods is given, followed by a discussion of the main limitations and advantages. In particular, it shows that the best strategy to extract quantitative information from diffusion data depends on the specific application. For example, ROI analysis is sensitive to small changes, particularly if concentrated in a small area of the brain; however, it is time-consuming and poorly reproducible, it requires an anatomical reference sharing the same geometry as the diffusion data, and the definition of clear guidelines; it also requires a strong hypothesis about the location of pathology. Histogram analysis is indicated when dealing with a diffuse disease, as it provides an assessment of the whole-brain without information on the location of pathology, and it requires an accurate procedure for CSF removal. An approach that conjugates the spatial specificity of ROI analysis with the possibility of assessing the whole brain is voxel-based analysis. A strong appeal of VB methods is the fact that while it might require long computational time, it requires minimal intervention from the user. Its reproducibility, however, strongly depends on the setting of the normalization and smoothing parameters. A diffusion tensor specific approach, named tract-based spatial statistics (TBSS), was recently developed. Its pros and cons are discussed. Finally, the most typical applications of diffusion tractography in clinical research are reviewed: tractography-based ROI definition, anatomical connectivity mapping, tract-shape definition and comparison, and connectivity-based parcellation.

Access to the complete content on Oxford Medicine Online requires a subscription or purchase. Public users are able to search the site and view the abstracts for each book and chapter without a subscription.

Please subscribe or login to access full text content.

If you have purchased a print title that contains an access token, please see the token for information about how to register your code.

For questions on access or troubleshooting, please check our FAQs, and if you can't find the answer there, please contact us.