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Quantitative DTI Measures

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Diffusion Tensor Imaging

Abstract

Diffusion tensor imaging (DTI) has revolutionized the visualization of white matter in vivo. However, it is far more than a qualitative tool and can also be used to generate quantitative measures related to diffusion magnitude and its degree of anisotropy, which indirectly reflect microstructural organisation. Although highly sensitive to microstructural change, DTI measures lack specificity and are influenced by a wide range of biological and methodological factors. This makes the interpretation of DTI metric changes extremely challenging.

This chapter introduces the most common DTI measures and how they relate to tissue microstructure. Important confounds are addressed, including how DTI metrics are influenced by biological factors such as ageing and pathology, and by methodological factors such as data acquisition, modeling, and analysis.

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Suggested Reading

  1. Jones DK, Cercignani M. Twenty-five pitfalls in the analysis of diffusion MRI data. NMR Biomed. 2010;23(7):803–20.

    Article  PubMed  Google Scholar 

  2. Jones DK, Knösche TR, Turner R. White matter integrity, fibre count, and other fallacies: the do’s and don’ts of diffusion MRI. Neuroimage. 2013;73:239–54.

    Article  PubMed  Google Scholar 

  3. Tournier JD, Mori S, Leemans A. Diffusion tensor imaging and beyond. Magn Reson Med. 2011;65(6):1532–56.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Wheeler-Kingshott CAM, Cercignani M. About “axial” and “radial” diffusivities. Magn Reson Med. 2009;61(5):1255–60.

    Article  PubMed  Google Scholar 

  5. Concha L. A macroscopic view of microstructure: using diffusion-weighted images to infer damage, repair, and plasticity of white matter. Neuroscience. 2014;276:14–28.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank Dr. Niall Colgan, University College London for producing and analysing the synthetic data using the Camino: Open-source diffusion-MRI reconstruction and processing tool [89] and Dr. Karla Miller and FMRIB Centre, University of Oxford for supplying the 1.5 and 7 T data.

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Authors and Affiliations

  1. Complex & Adaptive Systems Laboratory, School of Medicine & Medical Sciences, University College Dublin, Dublin, Ireland

    Kathleen M. Curran PhD

  2. Translational MRI, Department of Imaging and Pathology, KU Leuven and Radiology, University Hospitals Leuven, Leuven, Belgium

    Louise Emsell PhD

  3. Universitair Psychiatrisch Centrum (UPC), KU Leuven, Leuven, Belgium

    Louise Emsell PhD

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

    Alexander Leemans PhD

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  1. Kathleen M. Curran PhD
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  2. Louise Emsell PhD
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Correspondence to Kathleen M. Curran 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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Curran, K.M., Emsell, L., Leemans, A. (2016). Quantitative DTI Measures. 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_5

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  • DOI: https://doi.org/10.1007/978-1-4939-3118-7_5

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