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

被引:8
作者
Baete, Steven H. [1 ]
Cho, Gene Y. [1 ,2 ]
Sigmund, Eric E. [1 ]
机构
[1] NYU Langone Med Ctr, Dept Radiol, Bernard & Irene Schwartz Ctr Biomed Imaging, New York, NY 10016 USA
[2] NYU Sch Med, Sackler Inst Grad Biomed Sci, New York, NY USA
关键词
dynamic diffusion; DTI; multiple-modulation multiple echo; fast acquisition; MEDITATE; skeletal muscle; exercise; EXERTIONAL COMPARTMENT SYNDROME; SKELETAL-MUSCLE; IN-VIVO; MAGNETIC-RESONANCE; BOLD-MRI; TRANSVERSE RELAXATION; PHASE-CONTRAST; CALF MUSCLES; EXERCISE; T-2;
D O I
10.1002/nbm.3296
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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 (c) 2015 John Wiley & Sons, Ltd.
引用
收藏
页码:667 / 678
页数:12
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