Multi-tissue based Coil Sensitivity Estimation for Optimal SNR Reconstruction in Phased Array MRI
Vemuri P, Parker D, Kholmovski E
University of Utah
In typical MR studies, the sum-of-squares (SoS) reconstruction algorithm is applied for the combination of phased array MR images. The intensity of the SoS reconstructed image is modulated by a spatially variable function due to the non-uniformity of coil sensitivities and also has sub-optimal SNR and intensity bias. In this work, we have presented an iterative algorithm for the estimation of individual coil sensitivities using a multi-tissue Gaussian model. The estimated coil sensitivities are used for optimal SNR reconstruction which results in images with intensity modulation removed and with reduced intensity bias.