Literature DB >> 22285876

Novel multisection design of anisotropic diffusion phantoms.

Ezequiel Farrher1, Joachim Kaffanke, A Avdo Celik, Tony Stöcker, Farida Grinberg, N Jon Shah.   

Abstract

Diffusion-weighted magnetic resonance imaging provides access to fiber pathways and structural integrity in fibrous tissues such as white matter in the brain. In order to enable better access to the sensitivity of the diffusion indices to the underlying microstructure, it is important to develop artificial model systems that exhibit a well-known structure, on the one hand, but benefit from a reduced complexity on the other hand. In this work, we developed a novel multisection diffusion phantom made of polyethylene fibers tightly wound on an acrylic support. The phantom exhibits three regions with different geometrical configuration of fibers: a region with fibers crossing at right angles, a region with parallel fibers and homogeneous density, and, finally, a region with parallel fibers but with a gradient of fiber density along the axis of symmetry. This gives rise to a gradual change of the degree of anisotropy within the same phantom. In this way, the need to construct several phantoms with different fiber densities is avoided, and one can access different fractional anisotropies in the same experiment under the same physical conditions. The properties of the developed phantom are demonstrated by means of diffusion tensor imaging and diffusion kurtosis imaging. The measurements were performed using a diffusion-weighted spin-echo and a diffusion-weighted stimulated-echo pulse sequence programmed in-house. The influence of the fiber density packing on the diffusion parameters was analyzed. We also demonstrate how the novel phantom can be used for the validation of high angular resolution diffusion imaging data analysis.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22285876     DOI: 10.1016/j.mri.2011.12.012

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  14 in total

1.  The reproducibility of measurements using a standardization phantom for the evaluation of fractional anisotropy (FA) derived from diffusion tensor imaging (DTI).

Authors:  Mitsuhiro Kimura; Hidetake Yabuuchi; Ryoji Matsumoto; Koji Kobayashi; Yasuo Yamashita; Kazuya Nagatomo; Ryoji Mikayama; Takeshi Kamitani; Koji Sagiyama; Yuzo Yamasaki
Journal:  MAGMA       Date:  2019-09-24       Impact factor: 2.310

Review 2.  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

3.  Fiber estimation and tractography in diffusion MRI: development of simulated brain images and comparison of multi-fiber analysis methods at clinical b-values.

Authors:  Bryce Wilkins; Namgyun Lee; Niharika Gajawelli; Meng Law; Natasha Leporé
Journal:  Neuroimage       Date:  2014-12-30       Impact factor: 6.556

4.  Diffusion tensor MRI phantom exhibits anomalous diffusion.

Authors:  Allen Q Ye; Penny L Hubbard Cristinacce; Feng-Lei Zhou; Ziying Yin; Geoff J M Parker; Richard L Magin
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

5.  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

6.  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

7.  Validation of diffusion MRI estimates of compartment size and volume fraction in a biomimetic brain phantom using a human MRI scanner with 300 mT/m maximum gradient strength.

Authors:  Qiuyun Fan; Aapo Nummenmaa; Barbara Wichtmann; Thomas Witzel; Choukri Mekkaoui; Walter Schneider; Lawrence L Wald; Susie Y Huang
Journal:  Neuroimage       Date:  2018-01-12       Impact factor: 6.556

8.  Diffusion tensor MR microscopy of tissues with low diffusional anisotropy.

Authors:  Franci Bajd; Carlos Mattea; Siegfried Stapf; Igor Sersa
Journal:  Radiol Oncol       Date:  2016-04-03       Impact factor: 2.991

9.  Non-Gaussian diffusion imaging for enhanced contrast of brain tissue affected by ischemic stroke.

Authors:  Farida Grinberg; Ezequiel Farrher; Luisa Ciobanu; Françoise Geffroy; Denis Le Bihan; N Jon Shah
Journal:  PLoS One       Date:  2014-02-27       Impact factor: 3.240

10.  Biomimetic phantom for cardiac diffusion MRI.

Authors:  Irvin Teh; Feng-Lei Zhou; Penny L Hubbard Cristinacce; Geoffrey J M Parker; Jürgen E Schneider
Journal:  J Magn Reson Imaging       Date:  2015-07-24       Impact factor: 4.813

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.