Literature DB >> 25900166

Dynamic diffusion-tensor measurements in muscle tissue using the single-line multiple-echo diffusion-tensor acquisition technique at 3T.

Steven H Baete1, Gene Y Cho1,2, Eric E Sigmund1.   

Abstract

When diffusion biomarkers display transient changes, i.e. in muscle following exercise, traditional diffusion-tensor imaging (DTI) methods lack the temporal resolution to resolve the dynamics. This article presents an MRI method for dynamic diffusion-tensor acquisitions on a clinical 3T scanner. This method, the Single-Line Multiple-Echo Diffusion-Tensor Acquisition Technique (SL-MEDITATE), achieves a high temporal resolution (4 s) by rapid diffusion encoding through the acquisition of multiple echoes with unique diffusion sensitization and limiting the readout to a single line volume. The method is demonstrated in a rotating anisotropic phantom, a flow phantom with adjustable flow speed and in vivo skeletal calf muscle of healthy volunteers following a plantar flexion exercise. The rotating and flow-varying phantom experiments show that SL-MEDITATE correctly identifies the rotation of the first diffusion eigenvector and the changes in diffusion-tensor parameter magnitudes, respectively. Immediately following exercise, the in vivo mean diffusivity (MD) time courses show, before the well-known increase, an initial decrease that is not typically observed in traditional DTI. In conclusion, SL-MEDITATE can be used to capture transient changes in tissue anisotropy in a single line. Future progress might allow for dynamic DTI when combined with appropriate k-space trajectories and compressed sensing reconstruction.
Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DTI; MEDITATE; dynamic diffusion; exercise; fast acquisition; multiple-modulation multiple echo; skeletal muscle

Mesh:

Year:  2015        PMID: 25900166      PMCID: PMC4433040          DOI: 10.1002/nbm.3296

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


  69 in total

1.  Condition number as a measure of noise performance of diffusion tensor data acquisition schemes with MRI.

Authors:  S Skare; M Hedehus; M E Moseley; T Q Li
Journal:  J Magn Reson       Date:  2000-12       Impact factor: 2.229

2.  Diffusive sensitivity to muscle architecture: a magnetic resonance diffusion tensor imaging study of the human calf.

Authors:  Craig J Galbán; Stefan Maderwald; Kai Uffmann; Armin de Greiff; Mark E Ladd
Journal:  Eur J Appl Physiol       Date:  2004-12       Impact factor: 3.078

3.  Changes in MR diffusion properties during active muscle contraction in the calf.

Authors:  Yoshikazu Okamoto; Akira Kunimatsu; Tatsuo Kono; Katsuhiro Nasu; Junichi Sonobe; Manabu Minami
Journal:  Magn Reson Med Sci       Date:  2010       Impact factor: 2.471

4.  Simultaneous phase correction and SENSE reconstruction for navigated multi-shot DWI with non-cartesian k-space sampling.

Authors:  Chunlei Liu; Michael E Moseley; Roland Bammer
Journal:  Magn Reson Med       Date:  2005-12       Impact factor: 4.668

5.  Diffusion tensor imaging of the human calf muscle: distinct changes in fractional anisotropy and mean diffusion due to passive muscle shortening and stretching.

Authors:  Nina F Schwenzer; Günter Steidle; Petros Martirosian; Christina Schraml; Fabian Springer; Claus D Claussen; Fritz Schick
Journal:  NMR Biomed       Date:  2009-12       Impact factor: 4.044

6.  Analytical expressions for the NMR apparent diffusion coefficients in an anisotropic system and a simplified method for determining fiber orientation.

Authors:  E W Hsu; S Mori
Journal:  Magn Reson Med       Date:  1995-08       Impact factor: 4.668

7.  Simultaneous measurements of diffusion and transverse relaxation in exercising skeletal muscle.

Authors:  D Morvan; A Leroy-Willig
Journal:  Magn Reson Imaging       Date:  1995       Impact factor: 2.546

8.  Reproducibility analysis of diffusion tensor indices and fiber architecture of human calf muscles in vivo at 1.5 Tesla in neutral and plantarflexed ankle positions at rest.

Authors:  Shantanu Sinha; Usha Sinha
Journal:  J Magn Reson Imaging       Date:  2011-05-23       Impact factor: 4.813

9.  High-field (11.75T) multimodal MR imaging of exercising hindlimb mouse muscles using a non-invasive combined stimulation and force measurement device.

Authors:  Julien Gondin; Christophe Vilmen; Patrick J Cozzone; David Bendahan; Guillaume Duhamel
Journal:  NMR Biomed       Date:  2014-05-29       Impact factor: 4.044

10.  Diffusion tensor MRI to assess damage in healthy and dystrophic skeletal muscle after lengthening contractions.

Authors:  Alan B McMillan; Da Shi; Stephen J P Pratt; Richard M Lovering
Journal:  J Biomed Biotechnol       Date:  2011-11-15
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  5 in total

Review 1.  Advanced MRI Techniques for Muscle Imaging.

Authors:  Vivek Kalia; Doris G Leung; Darryl B Sneag; Filippo Del Grande; John A Carrino
Journal:  Semin Musculoskelet Radiol       Date:  2017-08-03       Impact factor: 1.777

Review 2.  A handbook for beginners in skeletal muscle diffusion tensor imaging: physical basis and technical adjustments.

Authors:  Teodoro Martín-Noguerol; Rafael Barousse; Daniel E Wessell; Ignacio Rossi; Antonio Luna
Journal:  Eur Radiol       Date:  2022-05-12       Impact factor: 5.315

3.  Dynamic DTI (dDTI) shows differing temporal activation patterns in post-exercise skeletal muscles.

Authors:  Conrad Rockel; Alireza Akbari; Dinesh A Kumbhare; Michael D Noseworthy
Journal:  MAGMA       Date:  2016-09-13       Impact factor: 2.310

4.  Spatially resolved kinetics of skeletal muscle exercise response and recovery with multiple echo diffusion tensor imaging (MEDITI): a feasibility study.

Authors:  E E Sigmund; S H Baete; K Patel; D Wang; D Stoffel; R Otazo; P Parasoglou; J Bencardino
Journal:  MAGMA       Date:  2018-05-14       Impact factor: 2.310

5.  MRI assessment of the thigh musculature in dermatomyositis and healthy subjects using diffusion tensor imaging, intravoxel incoherent motion and dynamic DTI.

Authors:  E E Sigmund; S H Baete; T Luo; K Patel; D Wang; I Rossi; A Duarte; M Bruno; D Mossa; A Femia; S Ramachandran; D Stoffel; J S Babb; A G Franks; J Bencardino
Journal:  Eur Radiol       Date:  2018-06-04       Impact factor: 5.315

  5 in total

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