Literature DB >> 17574364

Quantification of water compartmentation in cell suspensions by diffusion-weighted and T(2)-weighted MRI.

Yiftach Roth1, Aharon Ocherashvilli, Dianne Daniels, Jesus Ruiz-Cabello, Stephan E Maier, Arie Orenstein, Yael Mardor.   

Abstract

When studying water diffusion in biological systems, any specific signal attenuation curve may be reproduced by a broad range of mathematical functions. Our goals were to quantify the diffusion and T(2) relaxation properties of water in a simple biological system and to study the changes that occur in osmotically stressed cells. Human breast cancer cells were incubated in isotonic or hypotonic osmotic buffers. Diffusion-weighted and T(2)-weighted magnetic resonance images were acquired during sedimentation over 12 h. Diffusion-weighted imaging (DWI) data were analyzed with a biexponential fit, the Kärger model for exchange between two freely diffusing populations and the Price-modified Kärger model accounting for restricted diffusion in spherical geometry. We found that only the Price model provided an accurate quantitative description for water diffusion in both cell systems, independent of acquisition parameters, over the entire density range. Model-derived cell radii, intracellular volume fractions and transmembrane water exchange times were in good agreement with results calculated from light microscopy and with model-free exchange times. T(2) data indicated two populations in fast exchange, with volume fractions clearly different from DWI populations. Hypotonic stress led to higher slow apparent diffusion coefficient, longer T(2) and lower membrane permeability. The tortuosity in a hypotonic cell suspension complied with the Wang model for spherical geometry. Quantitative characterization of biological systems is obtainable by DWI, using appropriate modeling, accounting for water restriction and exchange between compartments.

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Year:  2007        PMID: 17574364     DOI: 10.1016/j.mri.2007.04.013

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


  13 in total

1.  Label-free magnetic resonance imaging to locate live cells in three-dimensional porous scaffolds.

Authors:  A Abarrategi; M E Fernandez-Valle; T Desmet; D Castejón; A Civantos; C Moreno-Vicente; V Ramos; J V Sanz-Casado; F J Martínez-Vázquez; P Dubruel; P Miranda; J L López-Lacomba
Journal:  J R Soc Interface       Date:  2012-03-22       Impact factor: 4.118

2.  Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques.

Authors:  P A T Baltzer; D M Renz; K-H Herrmann; M Dietzel; I Krumbein; M Gajda; O Camara; J R Reichenbach; W A Kaiser
Journal:  Eur Radiol       Date:  2009-03-14       Impact factor: 5.315

3.  Noninvasive Quantification of Cell Density in Three-Dimensional Gels by MRI.

Authors:  Brian J Archer; Till Uberruck; Julia J Mack; Khalid Youssef; Nanette N Jarenwattananon; Deniz Rall; Denis Wypysek; Martin Wiese; Bernhard Blumich; Matthias Wessling; M Luisa Iruela-Arispe; Louis-S Bouchard
Journal:  IEEE Trans Biomed Eng       Date:  2018-07-18       Impact factor: 4.538

4.  Application of the diffusion kurtosis model for the study of breast lesions.

Authors:  Luísa Nogueira; Sofia Brandão; Eduarda Matos; Rita Gouveia Nunes; Joana Loureiro; Isabel Ramos; Hugo Alexandre Ferreira
Journal:  Eur Radiol       Date:  2014-03-22       Impact factor: 5.315

5.  Diffusion-weighted imaging: determination of the best pair of b-values to discriminate breast lesions.

Authors:  L Nogueira; S Brandão; E Matos; R G Nunes; J Loureiro; H A Ferreira; I Ramos
Journal:  Br J Radiol       Date:  2014-05-16       Impact factor: 3.039

6.  Effect of gradient pulse duration on MRI estimation of the diffusional kurtosis for a two-compartment exchange model.

Authors:  Jens H Jensen; Joseph A Helpern
Journal:  J Magn Reson       Date:  2011-03-17       Impact factor: 2.229

7.  Monte Carlo study of a two-compartment exchange model of diffusion.

Authors:  Els Fieremans; Dmitry S Novikov; Jens H Jensen; Joseph A Helpern
Journal:  NMR Biomed       Date:  2010-08       Impact factor: 4.044

Review 8.  MRI quantification of non-Gaussian water diffusion by kurtosis analysis.

Authors:  Jens H Jensen; Joseph A Helpern
Journal:  NMR Biomed       Date:  2010-08       Impact factor: 4.044

9.  Intracellular water preexchange lifetime in neurons and astrocytes.

Authors:  Donghan M Yang; James E Huettner; G Larry Bretthorst; Jeffrey J Neil; Joel R Garbow; Joseph J H Ackerman
Journal:  Magn Reson Med       Date:  2017-07-04       Impact factor: 4.668

10.  A new phantom and empirical formula for apparent diffusion coefficient measurement by a 3 Tesla magnetic resonance imaging scanner.

Authors:  Marina Hara; Masahiro Kuroda; Yuichi Ohmura; Hidenobu Matsuzaki; Tomoki Kobayashi; Jun Murakami; Kazunori Katashima; Masakazu Ashida; Seiichiro Ohno; Jun-Ichi Asaumi
Journal:  Oncol Lett       Date:  2014-05-28       Impact factor: 2.967

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