Literature DB >> 11502422

Echo planar magnetic resonance imaging of anisotropic diffusion in asparagus stems.

S Boujraf1, R Luypaert, H Eisendrath, M Osteaux.   

Abstract

MR diffusion-weighted imaging (DWI) uses the signal loss associated with the random thermal motion of water molecules in the presence of magnetic field gradients to derive a number of parameters that reflect the translational mobility of the water molecules in tissues. In highly organized but asymmetric structures, this mobility may be affected by the obstacles present and this in a direction-dependent way. Important examples of this are white brain matter and the stem of certain plants, both containing fibrous components where diffusion of water molecules across fibers is much more restricted than along the fibers. Diffusion that exhibits such directional dependence is said to be anisotropic, and diffusion tensor magnetic resonance imaging allows localized characterization of this behavior. Interpretation of the information obtained in terms of the underlying tissue structure is often hampered by the complexity of factors that can produce the observed behavior. A phantom that exhibits well-defined anisotropic diffusion and yields sufficient signal can help the experimental testing of the relevant methods and models. In this paper, we have used a phantom consisting of asparagus stems as a test object for assessing the value of the acquisition and postprocessing techniques commonly used in the clinic for this kind of investigation. Because of its strongly fibrous and cylindrically symmetric morphology, exhibiting a well-defined sub-classification of cells on the basis of size and shape, asparagus allows a relatively simple interpretation of the results obtained in the diffusion experiments. Our experiments show that the known structural information about the main cell types encountered correlates well with the behavior patterns of the diffusion parameters.

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Year:  2001        PMID: 11502422     DOI: 10.1007/BF02668156

Source DB:  PubMed          Journal:  MAGMA        ISSN: 0968-5243            Impact factor:   2.533


  25 in total

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Journal:  Magn Reson Q       Date:  1991-01

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Journal:  Magn Reson Imaging       Date:  1998-09       Impact factor: 2.546

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Journal:  Magn Reson Med       Date:  1997-02       Impact factor: 4.668

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Authors:  C Pierpaoli; P J Basser
Journal:  Magn Reson Med       Date:  1996-12       Impact factor: 4.668

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Authors:  D Xing; N G Papadakis; C L Huang; V M Lee; T A Carpenter; L D Hall
Journal:  Magn Reson Imaging       Date:  1997       Impact factor: 2.546

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Journal:  Top Magn Reson Imaging       Date:  1991-06

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Authors:  Z H Cho; C B Ahn; S C Juh; H K Lee; R E Jacobs; S Lee; J H Yi; J M Jo
Journal:  Med Phys       Date:  1988 Nov-Dec       Impact factor: 4.071

9.  Quantitation of non-Einstein diffusion behavior of water in biological tissues by proton MR diffusion imaging: synthetic image calculations.

Authors:  K H Cheng
Journal:  Magn Reson Imaging       Date:  1993       Impact factor: 2.546

10.  MR diffusion tensor spectroscopy and imaging.

Authors:  P J Basser; J Mattiello; D LeBihan
Journal:  Biophys J       Date:  1994-01       Impact factor: 4.033

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  13 in total

1.  Effects of restricted diffusion in a biological phantom: a q-space diffusion MRI study of asparagus stems at a 3T clinical scanner.

Authors:  Jimmy Lätt; Markus Nilsson; Anna Rydhög; Ronnie Wirestam; Freddy Ståhlberg; Sara Brockstedt
Journal:  MAGMA       Date:  2007-10-19       Impact factor: 2.310

2.  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 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.  Multiple-echo diffusion tensor acquisition technique (MEDITATE) on a 3T clinical scanner.

Authors:  Steven H Baete; Gene Cho; Eric E Sigmund
Journal:  NMR Biomed       Date:  2013-07-05       Impact factor: 4.044

5.  A controllably anisotropic conductivity or diffusion phantom constructed from isotropic layers.

Authors:  Rosalind J Sadleir; Farida Neralwala; Tang Te; Aaron Tucker
Journal:  Ann Biomed Eng       Date:  2009-09-16       Impact factor: 3.934

6.  Quantitative permeability imaging of plant tissues.

Authors:  Timur A Sibgatullin; Frank J Vergeldt; Edo Gerkema; Henk Van As
Journal:  Eur Biophys J       Date:  2009-11-17       Impact factor: 1.733

7.  Mathematical methods for diffusion MRI processing.

Authors:  C Lenglet; J S W Campbell; M Descoteaux; G Haro; P Savadjiev; D Wassermann; A Anwander; R Deriche; G B Pike; G Sapiro; K Siddiqi; P M Thompson
Journal:  Neuroimage       Date:  2008-11-13       Impact factor: 6.556

8.  Strategies for assessing diffusion anisotropy on the basis of magnetic resonance images: comparison of systematic errors.

Authors:  Saïd Boujraf
Journal:  J Med Signals Sens       Date:  2014-04

9.  Use of diffusion magnetic resonance imaging to correlate the developmental changes in grape berry tissue structure with water diffusion patterns.

Authors:  Ryan J Dean; Timothy Stait-Gardner; Simon J Clarke; Suzy Y Rogiers; Gabriele Bobek; William S Price
Journal:  Plant Methods       Date:  2014-11-04       Impact factor: 4.993

10.  Effects of MR parameter changes on the quantification of diffusion anisotropy and apparent diffusion coefficient in diffusion tensor imaging: evaluation using a diffusional anisotropic phantom.

Authors:  Sang Joon Kim; Choong Gon Choi; Jeong Kon Kim; Sung-Cheol Yun; Geon-Ho Jahng; Ha-Kyu Jeong; Eun Ju Kim
Journal:  Korean J Radiol       Date:  2015-02-27       Impact factor: 3.500

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