Literature DB >> 16729262

In vivo diffusion tensor imaging of the human calf muscle.

Shantanu Sinha1, Usha Sinha, V Reggie Edgerton.   

Abstract

PURPOSE: To demonstrate the feasibility of in vivo calf muscle fiber tracking in human subjects.
MATERIALS AND METHODS: An EPI-based diffusion tensor imaging (DTI) sequence with six-direction diffusion gradient sensitization was implemented, and DT images were acquired at 3 Tesla on five subjects using an extremity coil. The mean diffusivity, fractional anisotropy (FA), and fiber angle (with respect to the magnet z-axis) were measured in different muscles, and fibers were tracked from several regions of interest (ROIs).
RESULTS: The fiber orientations in the current DTI studies agree well with those determined in previous spectroscopic studies. The orientation angles ranged from 13.4 degrees in the lateral gastrocnemius to 48.5 degrees in the medial soleus. The diffusion ellipsoid in muscle tissue is anisotropic and approximates a prolate model, as shown by color maps of the anisotropy. Fibers were tracked from the different muscle regions, and the unipennate and bipennate structure of muscle fibers was visualized.
CONCLUSION: The study clearly shows that in vivo fiber tracking of muscle fibers is feasible and could potentially be applied to study muscle structure function relationships. (c) 2006 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2006        PMID: 16729262     DOI: 10.1002/jmri.20593

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  56 in total

1.  Polynomial fitting of DT-MRI fiber tracts allows accurate estimation of muscle architectural parameters.

Authors:  Bruce M Damon; Anneriet M Heemskerk; Zhaohua Ding
Journal:  Magn Reson Imaging       Date:  2012-04-12       Impact factor: 2.546

2.  Accelerated magnetic resonance diffusion tensor imaging of the median nerve using simultaneous multi-slice echo planar imaging with blipped CAIPIRINHA.

Authors:  Lukas Filli; Marco Piccirelli; David Kenkel; Andreas Boss; Andrei Manoliu; Gustav Andreisek; Himanshu Bhat; Val M Runge; Roman Guggenberger
Journal:  Eur Radiol       Date:  2015-09-15       Impact factor: 5.315

3.  Diffusion Tensor MRI Assessment of Skeletal Muscle Architecture.

Authors:  Anneriet M Heemskerk; Bruce M Damon
Journal:  Curr Med Imaging Rev       Date:  2007

4.  Quantitative diffusion tensor MRI-based fiber tracking of human skeletal muscle.

Authors:  Drew A Lansdown; Zhaohua Ding; Megan Wadington; Jennifer L Hornberger; Bruce M Damon
Journal:  J Appl Physiol (1985)       Date:  2007-04-19

5.  Diffusion tensor imaging of the normal prostate at 3 Tesla.

Authors:  Bengi Gürses; Neslihan Kabakci; Arzu Kovanlikaya; Zeynep Firat; Ali Bayram; Aziz Müfit Uluğ; Aziz Müfit Uluo; Ilhami Kovanlikaya
Journal:  Eur Radiol       Date:  2007-10-25       Impact factor: 5.315

6.  Absolute and relative contributions of BOLD effects to the muscle functional MRI signal intensity time course: effect of exercise intensity.

Authors:  Bruce M Damon; Megan C Wadington; Jennifer L Hornberger; Drew A Lansdown
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

7.  In vivo MR tractography of thigh muscles using diffusion imaging: initial results.

Authors:  J F Budzik; V Le Thuc; X Demondion; M Morel; D Chechin; A Cotten
Journal:  Eur Radiol       Date:  2007-07-17       Impact factor: 5.315

8.  Comparison of twice refocused spin echo versus stimulated echo diffusion tensor imaging for tracking muscle fibers.

Authors:  Brian Noehren; Anders Andersen; Thorsten Feiweier; Bruce Damon; Peter Hardy
Journal:  J Magn Reson Imaging       Date:  2014-02-19       Impact factor: 4.813

9.  Effects of image noise in muscle diffusion tensor (DT)-MRI assessed using numerical simulations.

Authors:  Bruce M Damon
Journal:  Magn Reson Med       Date:  2008-10       Impact factor: 4.668

10.  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

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