Yu Ding1,
Yiu-Cho Chung2, Orlando P. Simonetti1
1The
In
this study, we propose an novel method to assess noise level and noise
covariance matrix in the k-space data when both signal and noise are present.
Experimental results show that the noise level as well as the noise
covariance matrix can be accurately derived from multi-frame k-space data
without deploying a separate noise scan.
Keywords