Literature DB >> 18765890

The design of anisotropic diffusion phantoms for the validation of diffusion weighted magnetic resonance imaging.

Els Fieremans1, Yves De Deene, Steven Delputte, Mahir S Ozdemir, Eric Achten, Ignace Lemahieu.   

Abstract

Diffusion weighted magnetic resonance imaging offers a non-invasive tool to explore the three-dimensional structure of brain white matter in clinical practice. Anisotropic diffusion hardware phantoms are useful for the quantitative validation of this technique. This study provides guidelines on how to manufacture anisotropic fibre phantoms in a reproducible way and which fibre material to choose to obtain a good quality of the diffusion weighted images. Several fibre materials are compared regarding their effect on the diffusion MR measurements of the water molecules inside the phantoms. The diffusion anisotropy influencing material properties are the fibre density and diameter, while the fibre surface relaxivity and magnetic susceptibility determine the signal-to-noise ratio. The effect on the T(2)-relaxation time of water in the phantoms has been modelled and the diffusion behaviour inside the fibre phantoms has been quantitatively evaluated using Monte Carlo random walk simulations.

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Year:  2008        PMID: 18765890     DOI: 10.1088/0031-9155/53/19/009

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  22 in total

1.  Mesoscopic structure of neuronal tracts from time-dependent diffusion.

Authors:  Lauren M Burcaw; Els Fieremans; Dmitry S Novikov
Journal:  Neuroimage       Date:  2015-03-30       Impact factor: 6.556

2.  Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis.

Authors:  Kurt G Schilling; Samantha By; Haley R Feiler; Bailey A Box; Kristin P O'Grady; Atlee Witt; Bennett A Landman; Seth A Smith
Journal:  Neuroimage       Date:  2019-07-19       Impact factor: 6.556

Review 3.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

4.  Tracking and validation techniques for topographically organized tractography.

Authors:  Dogu Baran Aydogan; Yonggang Shi
Journal:  Neuroimage       Date:  2018-07-02       Impact factor: 6.556

5.  When tractography meets tracer injections: a systematic study of trends and variation sources of diffusion-based connectivity.

Authors:  Dogu Baran Aydogan; Russell Jacobs; Stephanie Dulawa; Summer L Thompson; Maite Christi Francois; Arthur W Toga; Hongwei Dong; James A Knowles; Yonggang Shi
Journal:  Brain Struct Funct       Date:  2018-04-16       Impact factor: 3.270

6.  Validation of surface-to-volume ratio measurements derived from oscillating gradient spin echo on a clinical scanner using anisotropic fiber phantoms.

Authors:  Gregory Lemberskiy; Steven H Baete; Martijn A Cloos; Dmitry S Novikov; Els Fieremans
Journal:  NMR Biomed       Date:  2017-03-22       Impact factor: 4.044

7.  Design and validation of diffusion MRI models of white matter.

Authors:  Ileana O Jelescu; Matthew D Budde
Journal:  Front Phys       Date:  2017-11-28

8.  Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI.

Authors:  Kurt Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2016-01-21       Impact factor: 6.556

9.  Histological validation of diffusion MRI fiber orientation distributions and dispersion.

Authors:  Kurt G Schilling; Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson
Journal:  Neuroimage       Date:  2017-10-23       Impact factor: 6.556

10.  Microfluidic laminate-based phantom for diffusion tensor-magnetic resonance imaging (DT-MRI).

Authors:  R Samuel; H J Sant; F Jiao; C R Johnson; B K Gale
Journal:  J Micromech Microeng       Date:  2011-09       Impact factor: 1.881

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