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DTI and Bold MR Imaging

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Learning Neuroimaging

Part of the book series: Learning Imaging ((LEARN))

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Abstract

Diffusion tensor imaging (DTI) is a new technique that allows the mapping of mean water diffusion in fibrous tissues. It depends on a property, known as diffusion anisotropy, which is based in the fact that water molecules diffuse more easily in the direction aligned with internal structure and with difficulty as it moves perpendicular to the preferred direction. The acquired data enable the reconstruction of 3D images of white matter tracts (tractography) and the measurement of fractional anisotropy, which reflects the anisotropy of the analyzed structure.

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Author information

Authors and Affiliations

  1. CDPI and IRM Ressonancia Magnetica, Universidade Federal do Rio de Janeiro, Rua Capitao Salomao 44 - Botafogo, Rio de Janeiro, 22171-040, Brazil

    Luiz Celso Hygino Da Cruz Jr.

  2. Hospital Unimed Chapecó, Chapecó, Santa Catarina, Brazil

    Isabela Garcia Vieira

  3. Clínica de Diagnóstico por Imagem (CDPI) e Multimagem, Santa Casa de Misericórdia do Rio de Janeiro, Rio de Janeiro, Brazil

    Tatiana Chinem Takayassu

Authors
  1. Luiz Celso Hygino Da Cruz Jr.
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  2. Isabela Garcia Vieira
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  3. Tatiana Chinem Takayassu
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Corresponding author

Correspondence to Luiz Celso Hygino Da Cruz Jr. .

Editor information

Editors and Affiliations

  1. , Diagnostic and Therapeutics Neuroradiolo, Reina Sofia University Hospital, Menéndez Pidal, Córdoba, 14004, Spain

    Francisco de Asís Bravo-Rodríguez

  2. Alta Gualdalquivir Hospital, Av. Blas Infante, Jaen, 23215, Spain

    Rocío Diaz-Aguilera

  3. CDPI - Multi-Imagen Ressonância Magnétic, Rua Almirante Saddock de Sá 266 Ipanema 266, Rio de Janeiro, 22411-040, Rio de Janeiro, Brazil

    L. Celso Hygino Cruz Jr.

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© 2012 Springer-Verlag Berlin Heidelberg

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Da Cruz, L.C.H., Vieira, I.G., Takayassu, T.C. (2012). DTI and Bold MR Imaging. In: Bravo-Rodríguez, F., Diaz-Aguilera, R., Hygino Cruz Jr., L. (eds) Learning Neuroimaging. Learning Imaging. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22999-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-22999-2_9

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  • Print ISBN: 978-3-642-22998-5

  • Online ISBN: 978-3-642-22999-2

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