Meeting Banner
Abstract #0648

Accurate Noise Level and Noise Covariance Matrix Assessment in Phased Array Coil Without a Noise Scan

Yu Ding1, Yiu-Cho Chung2, Orlando P. Simonetti1

1The Ohio State University, Columbus, OH, United States; 2Siemens Medical Solutions, Columbus, OH, United States

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.