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A hitchhiker's guide to diffusion tensor imaging

Soares, José M ; Marques, Paulo ; Alves, Victor ; Sousa, Nuno

Frontiers in neuroscience, 2013-01, Vol.7, p.31-31 [Periódico revisado por pares]

Switzerland: Frontiers Research Foundation

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  • Título:
    A hitchhiker's guide to diffusion tensor imaging
  • Autor: Soares, José M ; Marques, Paulo ; Alves, Victor ; Sousa, Nuno
  • Assuntos: acquisition ; Alzheimer's disease ; analysis ; Anisotropy ; Automation ; Brain research ; Cognitive ability ; Diffusion Tensor Imaging ; Hitchhiker’s guide ; Magnetic resonance imaging ; Neural networks ; Neuroimaging ; Neuroscience ; NMR ; Nuclear magnetic resonance ; processing ; Quality control ; Researchers
  • É parte de: Frontiers in neuroscience, 2013-01, Vol.7, p.31-31
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
    Reviewed by: Arno Klein, Cornell Medical School, USA; Eleftherios Garyfallidis, University of Cambridge, UK; Mahshid Farzinfar, University of North Carolina at Chapel Hill, USA
    Edited by: Arno Klein, Cornell Medical School, USA
    This article was submitted to Frontiers in Brain Imaging Methods, a specialty of Frontiers in Neuroscience.
  • Descrição: Diffusion Tensor Imaging (DTI) studies are increasingly popular among clinicians and researchers as they provide unique insights into brain network connectivity. However, in order to optimize the use of DTI, several technical and methodological aspects must be factored in. These include decisions on: acquisition protocol, artifact handling, data quality control, reconstruction algorithm, and visualization approaches, and quantitative analysis methodology. Furthermore, the researcher and/or clinician also needs to take into account and decide on the most suited software tool(s) for each stage of the DTI analysis pipeline. Herein, we provide a straightforward hitchhiker's guide, covering all of the workflow's major stages. Ultimately, this guide will help newcomers navigate the most critical roadblocks in the analysis and further encourage the use of DTI.
  • Editor: Switzerland: Frontiers Research Foundation
  • Idioma: Inglês
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