Literature DB >> 14643700

Definition of displacement probability and diffusion time in q-space magnetic resonance measurements that use finite-duration diffusion-encoding gradients.

Nicolas F Lori1, Thomas E Conturo, Denis Le Bihan.   

Abstract

In q-space diffusion NMR, the probability P(r,td) of a molecule having a displacement r in a diffusion time td is obtained under the assumption that the diffusion-encoding gradient g has an infinitesimal duration. However, this assumption may not always hold, particularly in human MRI where the diffusion-encoding gradient duration delta is typically of the same order of magnitude as the time offset Delta between encoding gradients. In this case, finite-delta effects complicate the interpretation of displacement probabilities measured in q-space MRI, and the form by which the signal intensity relates to them. By considering the displacement-specific dephasing, <r/eiphi>, of a set of spins accumulating a constant displacement vector r in the total time Delta+delta during which diffusion is encoded, the probability recovered by a finite-delta q-space experiment can be interpreted. It is shown theoretically that a data analysis using a modified q-space index q=gammadeltaetag, with gamma the gyromagnetic ratio and eta=square root (Delta-delta/3)/(Delta+delta), recovers the correct displacement probability distribution if diffusion is multi-Gaussian free diffusion. With this analysis, we show that the displacement distribution P(r,texp) is measured at the experimental diffusion-encoding time texp=Delta+delta, and not at the reduced diffusion time tr=Delta-delta/3 as is generally assumed in the NMR and MRI literature. It is also shown that, by defining a probability P(y,Delta) that a time t<delta exists such that a displacement y occurs from time t to t+Delta, it is possible to describe the physical significance of the result obtained when we use the q-space formalism valid for infinitesimal delta when delta is not infinitesimal. These deductions were confirmed by simulations for homogeneous Gaussian diffusion and for heterogeneous diffusion in permeable microscopic Gaussian domains that are homogeneous on the microm scale. The results also hold for diffusion inside restricted spherical reflecting domains, but only if the radius of the domain is larger than a critical size. The simulations of the displacement-specific dephasing obtain that if delta>deltac then eta is not equal to square root (Delta-delta/3)/(Delta+delta) which implies that we can no longer obtain the correct displacement probability from the displacement distribution. In the case that /g/=18 mT/m and Delta-delta=5 ms, the parameter deltac in ms is given by "deltac=0.49a2+0.24" where a is the sphere's radius expressed in microm. Simulation of q-space restricted diffusion MRI experiments indicate that if eta=square root (Delta-delta/3)/(Delta+delta), the recovered displacement probability is always better than the Gaussian approximation, and the measured diffusion coefficient matches the diffusion coefficient at time texp=Delta+delta better than it matches the diffusion coefficient at time tr=Delta-delta/3. These results indicate that q-space MRI measurements of displacement probability distributions are theoretically possible in biological tissues using finite-duration diffusion-encoding gradients provided certain compartment size and diffusion encoding gradient duration constraints are met.

Entities:  

Year:  2003        PMID: 14643700     DOI: 10.1016/j.jmr.2003.08.011

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  6 in total

1.  Diffusion time dependence of magnetic resonance diffusion signal decays: an investigation of water exchange in human brain in vivo.

Authors:  Marzieh Nezamzadeh
Journal:  MAGMA       Date:  2011-11-24       Impact factor: 2.310

2.  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

3.  A two-pool model to describe the IVIM cerebral perfusion.

Authors:  Gabrielle Fournet; Jing-Rebecca Li; Alex M Cerjanic; Bradley P Sutton; Luisa Ciobanu; Denis Le Bihan
Journal:  J Cereb Blood Flow Metab       Date:  2016-01-01       Impact factor: 6.200

Review 4.  Characterization of cerebral white matter properties using quantitative magnetic resonance imaging stains.

Authors:  Andrew L Alexander; Samuel A Hurley; Alexey A Samsonov; Nagesh Adluru; Ameer Pasha Hosseinbor; Pouria Mossahebi; Do P M Tromp; Elizabeth Zakszewski; Aaron S Field
Journal:  Brain Connect       Date:  2012-01-27

5.  Helium-3 MR q-space imaging with radial acquisition and iterative highly constrained back-projection.

Authors:  Rafael L O'Halloran; James H Holmes; Yu-Chien Wu; Andrew Alexander; Sean B Fain
Journal:  Magn Reson Med       Date:  2010-01       Impact factor: 4.668

6.  Parametric representation of multiple white matter fascicles from cube and sphere diffusion MRI.

Authors:  Benoit Scherrer; Simon K Warfield
Journal:  PLoS One       Date:  2012-11-26       Impact factor: 3.240

  6 in total

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