Literature DB >> 24151092

Fast low-angle shot diffusion tensor imaging with stimulated echo encoding in the muscle of rabbit shank.

Patrick Hiepe1, Karl-Heinz Herrmann, Daniel Güllmar, Christian Ros, Tobias Siebert, Reinhard Blickhan, Klaus Hahn, Jürgen R Reichenbach.   

Abstract

In the past, spin-echo (SE) echo planar imaging(EPI)-based diffusion tensor imaging (DTI) has been widely used to study the fiber structure of skeletal muscles in vivo. However, this sequence has several shortcomings when measuring restricted diffusion in small animals, such as its sensitivity to susceptibility-related distortions and a relatively short applicable diffusion time. To address these limitations, in the current work, a stimulated echo acquisition mode (STEAM) MRI technique, in combination with fast low-angle shot (FLASH) readout (turbo-STEAM MRI), was implemented and adjusted for DTI in skeletal muscles. Signal preparation using stimulated echoes enables longer effective diffusion times, and thus the detection of restricted diffusion within muscular tissue with intracellular distances up to 100 µm. Furthermore, it has a reduced penalty for fast T2 muscle signal decay, but at the expense of 50% signal loss compared with a SE preparation. Turbo-STEAM MRI facilitates high-resolution DTI of skeletal muscle without introducing susceptibility-related distortions. To demonstrate its applicability, we carried out rabbit in vivo measurements on a human whole-body 3 T scanner. DTI parameters of the shank muscles were extracted, including the apparent diffusion coefficient, fractional anisotropy, eigenvalues and eigenvectors. Eigenvectors were used to calculate maps of structural parameters, such as the planar index and the polar coordinates θ and ϕ of the largest eigenvector. These parameters were compared between three muscles. θ and ϕ showed clear differences between the three muscles, reflecting different pennation angles of the underlying fiber structures. Fiber tractography was performed to visualize and analyze the architecture of skeletal pennate muscles. Optimization of tracking parameters and utilization of T2 -weighted images for improved muscle boundary detection enabled the determination of additional parameters, such as the mean fiber length. The presented results support the applicability of turbo-STEAM MRI as a promising method for quantitative DTI analysis and fiber tractography in skeletal muscles.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  MRI; STEAM; diffusion tensor imaging; fiber tractography; muscles; rabbit shank; stimulated echo; turbo-FLASH

Mesh:

Year:  2013        PMID: 24151092     DOI: 10.1002/nbm.3046

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


  4 in total

1.  Extensive eccentric contractions in intact cardiac trabeculae: revealing compelling differences in contractile behaviour compared to skeletal muscles.

Authors:  André Tomalka; Oliver Röhrle; June-Chiew Han; Toan Pham; Andrew J Taberner; Tobias Siebert
Journal:  Proc Biol Sci       Date:  2019-05-29       Impact factor: 5.349

2.  Spatial variations in magnetic resonance-based diffusion of articular cartilage in knee osteoarthritis.

Authors:  Aditi Guha; Cory Wyatt; Dimitrios C Karampinos; Lorenzo Nardo; Thomas M Link; Sharmila Majumdar
Journal:  Magn Reson Imaging       Date:  2015-06-26       Impact factor: 2.546

Review 3.  Skeletal muscle diffusion tensor-MRI fiber tracking: rationale, data acquisition and analysis methods, applications and future directions.

Authors:  Bruce M Damon; Martijn Froeling; Amanda K W Buck; Jos Oudeman; Zhaohua Ding; Aart J Nederveen; Emily C Bush; Gustav J Strijkers
Journal:  NMR Biomed       Date:  2016-06-03       Impact factor: 4.044

4.  Three-Dimensional Muscle Architecture and Comprehensive Dynamic Properties of Rabbit Gastrocnemius, Plantaris and Soleus: Input for Simulation Studies.

Authors:  Tobias Siebert; Kay Leichsenring; Christian Rode; Carolin Wick; Norman Stutzig; Harald Schubert; Reinhard Blickhan; Markus Böl
Journal:  PLoS One       Date:  2015-06-26       Impact factor: 3.240

  4 in total

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