Literature DB >> 8739267

Diffusion-weighted imaging in tissues: theoretical models.

A Szafer1, J Zhong, A W Anderson, J C Gore.   

Abstract

Typical diffusion measurements use Stejskal-Tanner pulsed gradient spin echo sequences to provide information about the average diffusion and displacement profiles of particles in a sample. To derive structural information, a measured displacement profile has to be related by means of a model to the physical and geometrical properties of the tissue, such as diffusion coefficients and shapes of semi-permeable membranes of compartments in the system. The behavior of the NMR signal and the measured ADC are greatly affected by the cellular architecture of a tissue, mainly because cellular membranes are relatively impermeable to water. For long diffusion times, and small signal attenuations, ADC is relatively insensitive to how it is measured. In general, however, ADC values are not readily interpreted unless the measuring conditions are specified in detail. For given measuring conditions, ADC depends on intra- and extracellular diffusion coefficients, membrane permeabilities, cell sizes and the cellular volume fraction. If intra- and extracellular T2 relaxation rates are different enough, ADC may also depend on the relaxation properties of the system and the echo time. An improved understanding of the precise influence of these factors has been obtained by detailed consideration of theoretical and computer models that can be related to experimental data in simple systems. Further refinements of such models should advance our understanding of water diffusion in tissues.

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Year:  1995        PMID: 8739267     DOI: 10.1002/nbm.1940080704

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  44 in total

1.  Can diffusion-weighted imaging distinguish between normal and squamous cell carcinoma of the palatine tonsil?

Authors:  K S S Bhatia; A D King; D K W Yeung; F Mo; A C Vlantis; K-H Yu; J K T Wong; A T Ahuja
Journal:  Br J Radiol       Date:  2010-07-20       Impact factor: 3.039

2.  The influence of a cellular size distribution on NMR diffusion measurements.

Authors:  Sune Nørhøj Jespersen; Michael Pedersen; Hans Stødkilde-Jørgensen
Journal:  Eur Biophys J       Date:  2005-05-11       Impact factor: 1.733

3.  Multiparametric MRI biomarkers for measuring vascular disrupting effect on cancer.

Authors:  Huaijun Wang; Guy Marchal; Yicheng Ni
Journal:  World J Radiol       Date:  2011-01-28

4.  Prediction of recovery from a post-traumatic coma state by diffusion-weighted imaging (DWI) in patients with diffuse axonal injury.

Authors:  W B Zheng; G R Liu; L P Li; R H Wu
Journal:  Neuroradiology       Date:  2007-01-04       Impact factor: 2.804

5.  Contribution of diffusion-weighted MR imaging for predicting benignity of complex adnexal masses.

Authors:  Isabelle Thomassin-Naggara; Emile Daraï; Charles A Cuenod; Laure Fournier; Irwin Toussaint; Claude Marsault; Marc Bazot
Journal:  Eur Radiol       Date:  2009-02-13       Impact factor: 5.315

6.  Respiratory gated diffusion-weighted imaging of the liver: value of apparent diffusion coefficient measurements in the differentiation between most commonly encountered benign and malignant focal liver lesions.

Authors:  Sofia Gourtsoyianni; Nickolas Papanikolaou; Spyros Yarmenitis; Thomas Maris; Apostolos Karantanas; Nicholas Gourtsoyiannis
Journal:  Eur Radiol       Date:  2007-11-10       Impact factor: 5.315

7.  Early detection of schizophrenia by diffusion weighted imaging.

Authors:  Lynn E DeLisi; Kamila U Szulc; Hilary Bertisch; Magda Majcher; Kyle Brown; Arthika Bappal; Craig A Branch; Babak A Ardekani
Journal:  Psychiatry Res       Date:  2006-10-27       Impact factor: 3.222

8.  Initial results of in vivo high-resolution morphological and biochemical cartilage imaging of patients after matrix-associated autologous chondrocyte transplantation (MACT) of the ankle.

Authors:  Sebastian Quirbach; Siegfried Trattnig; Stefan Marlovits; Valentin Zimmermann; Stephan Domayer; Ronald Dorotka; Tallal C Mamisch; Klaus Bohndorf; Goetz H Welsch
Journal:  Skeletal Radiol       Date:  2009-03-19       Impact factor: 2.199

9.  Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.

Authors:  Gaëtan Rensonnet; Benoît Scherrer; Gabriel Girard; Aleksandar Jankovski; Simon K Warfield; Benoît Macq; Jean-Philippe Thiran; Maxime Taquet
Journal:  Neuroimage       Date:  2018-09-30       Impact factor: 6.556

10.  Diffusion MRI with Semi-Automated Segmentation Can Serve as a Restricted Predictive Biomarker of the Therapeutic Response of Liver Metastasis.

Authors:  Renu M Stephen; Abhinav K Jha; Denise J Roe; Theodore P Trouard; Jean-Philippe Galons; Matthew A Kupinski; Georgette Frey; Haiyan Cui; Scott Squire; Mark D Pagel; Jeffrey J Rodriguez; Robert J Gillies; Alison T Stopeck
Journal:  Magn Reson Imaging       Date:  2015-08-15       Impact factor: 2.546

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