Simultaneous Multislice Accelerated Diffusion Tensor Imaging of Thigh Muscles in Myositis

2018 ◽  
Vol 211 (4) ◽  
pp. 861-866
Author(s):  
Fengdan Wang ◽  
Chanyuan Wu ◽  
Caiyuan Sun ◽  
Dong Liu ◽  
Yi Sun ◽  
...  
2010 ◽  
Vol 195 (5) ◽  
pp. W352-W356 ◽  
Author(s):  
Erwan Kermarrec ◽  
Jean-François Budzik ◽  
Chadi Khalil ◽  
Vianney Le Thuc ◽  
Caroline Hancart-Destee ◽  
...  

2014 ◽  
Vol 87 (1043) ◽  
pp. 20140261 ◽  
Author(s):  
T Ai ◽  
K Yu ◽  
L Gao ◽  
P Zhang ◽  
F Goerner ◽  
...  

2014 ◽  
Vol 27 (9) ◽  
pp. 1070-1084 ◽  
Author(s):  
Ke Li ◽  
Richard D. Dortch ◽  
E. Brian Welch ◽  
Nathan D. Bryant ◽  
Amanda K. W. Buck ◽  
...  

2014 ◽  
Vol 73 (3) ◽  
pp. 995-1004 ◽  
Author(s):  
Angus Z. Lau ◽  
Elizabeth M. Tunnicliffe ◽  
Robert Frost ◽  
Peter J. Koopmans ◽  
Damian J. Tyler ◽  
...  

2019 ◽  
Vol 92 (1102) ◽  
pp. 20190133 ◽  
Author(s):  
Zhiyue J. Wang ◽  
Jin Yamamura ◽  
Sarah Keller

Objective: Signal-to-noise ratio (SNR) assessment is essential for accurate quantification of diffusion tensor imaging (DTI) metrics and usually requires the use of a difference image method using duplicate images. We aimed to estimate the SNR of DTI of thigh muscles using a single image set without duplicate images. Methods: DTI of one thigh were acquired on a 3 T scanner from 15 healthy adults, and scans with number of signal averages (NSA) = 4 and 8 were repeatedly acquired. SNR were evaluated for six thigh muscles. For SNR calculation from a single image set, diffusion-weighted images with similar diffusion encoding directions were grouped into pairs. The difference image of each pair was high-pass filtered in k-space to yield noise images. Noise images were also calculated with a difference method using two image sets as a reference. Subjects were divided into two groups for filter optimization and validation, respectively. The coefficient of repeatability (CR) of the SNR obtained from the two methods was also evaluated separately. Results: Bland–Altman analysis comparing the single image set method and the reference showed 95% limits of agreement of −9.2 to 9.2% for the optimization group and −12.5 to 12.6% for the validation group. The SNR measurement had a CR of 21.1% using the reference method, and 13.8% using the single image set method. Conclusion: The single image method can be used for DTI SNR assessment and offers better repeatability. Advances in knowledge: SNR of skeletal muscle DTI can be assessed for any data set without duplicate images.


2018 ◽  
Vol 45 (7) ◽  
pp. 3196-3204 ◽  
Author(s):  
Zijing Dong ◽  
Erpeng Dai ◽  
Fuyixue Wang ◽  
Zhe Zhang ◽  
Xiaodong Ma ◽  
...  

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