High-Resolution Diffusion Imaging Using a Radial Turbo-Spin-Echo Sequence: Implementation, Eddy Current Compensation, and Self-Navigation

2000 ◽  
Vol 144 (2) ◽  
pp. 243-254 ◽  
Author(s):  
Markus H.J Seifert ◽  
Peter M Jakob ◽  
Vladimir Jellus ◽  
Axel Haase ◽  
Claudia Hillenbrand
2006 ◽  
Vol 57 (1) ◽  
pp. 40-49 ◽  
Author(s):  
Smita Sampath ◽  
Amish N. Raval ◽  
Robert J. Lederman ◽  
Elliot R. McVeigh

2021 ◽  
Vol 11 (24) ◽  
pp. 12077
Author(s):  
Jialu Zhang ◽  
Xiaotong Zhang

Magnetic resonance imaging (MRI) integrates a static magnetic field, a time-varying gradient magnetic field at kHz and a radio-frequency (RF) magnetic field for non-invasive and real-time imaging; meanwhile, diffusion MRI (dMRI) pushes a further and closer dimension to the scale of neural fibers through sensitizing the gradient field to recognize water molecular displacement over distances of 1~20 μm along fibers. Contemporary dMRI approaches face challenges of magnetic field inhomogeneity as well as sequence-associated distortion and signal loss, the common remedies of which are repeated scans and post-reconstruction algorithms. In this study, over an anesthetized macaque with a customized head coil on 3 T MRI, we have proposed and implemented a monopolar diffusion-prepared module for turbo spin echo sequence (DP-TSE) as an alternative to achieve distortion-free, high-resolution diffusion imaging with improved SNR. The results showed high image quality and SNR efficiency as compared with conventional dMRI methods at millimeter level, allowing us to pursue submillimeter-scale dMRI over non-human primates (NHPs) in a relatively short scan time and without repetitions or post-processing, which could merit and advance our understanding of the structure and organizations of the primate’s brain.


2001 ◽  
Vol 25 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Yoshiharu Nakayama ◽  
Yasuyuki Yamashita ◽  
Yasuharu Matsuno ◽  
Yi Tang ◽  
Tomohiro Namimoto ◽  
...  

2013 ◽  
Vol 34 (7) ◽  
pp. 1434-1437 ◽  
Author(s):  
M. Kanoto ◽  
Y. Toyoguchi ◽  
T. Hosoya ◽  
A. Oda ◽  
Y. Sugai

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