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Double oscillating diffusion encoding and sensitivity to microscopic anisotropy.
Ianus, Andrada; Shemesh, Noam; Alexander, Daniel C; Drobnjak, Ivana.
Afiliação
  • Ianus A; Centre for Medical Image Computing, University College London, London, UK.
  • Shemesh N; Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal.
  • Alexander DC; Centre for Medical Image Computing, University College London, London, UK.
  • Drobnjak I; Centre for Medical Image Computing, University College London, London, UK.
Magn Reson Med ; 78(2): 550-564, 2017 08.
Article em En | MEDLINE | ID: mdl-27580027
ABSTRACT

PURPOSE:

To introduce a novel diffusion pulse sequence, namely double oscillating diffusion encoding (DODE), and to investigate whether it adds sensitivity to microscopic diffusion anisotropy (µA) compared to the well-established double diffusion encoding (DDE) methodology.

METHODS:

We simulate measurements from DODE and DDE sequences for different types of microstructures exhibiting restricted diffusion. First, we compare the effect of varying pulse sequence parameters on the DODE and DDE signal. Then, we analyse the sensitivity of the two sequences to the microstructural parameters (pore diameter and length) which determine µA. Finally, we investigate specificity of measurements to particular substrate configurations.

RESULTS:

Simulations show that DODE sequences exhibit similar signal dependence on the relative angle between the two gradients as DDE sequences, however, the effect of varying the mixing time is less pronounced. The sensitivity analysis shows that in substrates with elongated pores and various orientations, DODE sequences increase the sensitivity to pore diameter, while DDE sequences are more sensitive to pore length. Moreover, DDE and DODE sequence parameters can be tailored to enhance/suppress the signal from a particular range of substrates.

CONCLUSIONS:

A combination of DODE and DDE sequences maximize sensitivity to µA, compared to using just the DDE method. Magn Reson Med 78550-564, 2017. © 2016 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Processamento de Sinais Assistido por Computador / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Diagnostic_studies Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Processamento de Sinais Assistido por Computador / Imagem de Difusão por Ressonância Magnética Tipo de estudo: Diagnostic_studies Idioma: En Revista: Magn Reson Med Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Reino Unido