Accelerating Quantification of Myelin Water Fraction with Nonlocal Low-Rank Tensor in the Feature Domain
Quan Chen1, Huajun She1, and Yiping P. Du1
1School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
A Feature domain nonlocal Low-Rank Tensor based (FnLRT)
algorithm is proposed to accelerate the quantification of myelin water
content. The FnLRT algorithm provides the potential to obtain the whole
brain MWF mapping in 1 minute.
Figure 1. The flowchart of the
FnLRT algorithm. The artifacts in the features are substantially reduced.
Figure 3. The MWF maps of 5 representative subjects obtained from the L+S, LRT and
FnLRT reconstructions (R = 6).