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Diffusion MR imaging: How to get the maximum from the experimental time

De Santis, Silvia 2013. Diffusion MR imaging: How to get the maximum from the experimental time. Translational Neuroscience 4 (1) , pp. 59-65. 10.2478/s13380-013-0106-5

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Diffusion-based MR imaging is the only non-invasive method for characterising the microstructural organization of brain tissue in vivo. Diffusion tensor MRI (DT-MRI) is currently routinely used in both research and clinical practice. However, other diffusion approaches are gaining more and more popularity and an increasing number of researchers express interest in using them concomitantly with DT-MRI. While non tensor-based methods hold great promises for increasing the specificity of diffusion MR imaging, including them in the experimental routine inevitably leads to longer experimental times. In most cases, this may preclude the translation of the full protocol to clinical practice, especially when these methods are to be used with subjects that are not compatible with long scanning sessions (e.g., with elderly and pediatric subjects who have difficulties in maintaining a fixed head position during a long imaging session). The aim of this review is to guide the end-users on obtaining the maximum from the experimental time allocated to collecting diffusion MRI data. This is done by: (i) briefly reviewing non tensor-based approaches; (ii) reviewing the optimal protocols for both tensor and non tensor-based imaging; and (iii) drawing the conclusions for different experimental times.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Cardiff University Brain Research Imaging Centre (CUBRIC)
Subjects: B Philosophy. Psychology. Religion > BF Psychology
R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Uncontrolled Keywords: Diffusion tensor; MRI; Sampling schemes; Optimisation; Data quality; CHARMED; Tractography; Anomalous Diffusion
Publisher: Springer
ISSN: 2081-3856
Date of Acceptance: 25 January 2013
Last Modified: 04 Jun 2017 05:04

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