Adaptive SENSE reconstruction for parallel imaging with massive array coils.
This work presents an adaptive SENSE reconstruction method for parallel magnetic resonance imaging with a large number of localized coils. This method uses a Gaussian model to obtain improved coil sensitivity estimate. For image reconstruction, it dynamically selects a subset of receiver channels, in a pixel-by-pixel fashion, to improve computational efficiency and the signal-to-noise ratio (SNR). Computer simulations and real experiments show that the proposed method reconstructs images with reduced artifacts and higher SNR than the SENSE method.
Son
Jong Bum
JB
Dept. of Electr. Eng., Texas A&M Univ., TX, USA.
Ji
Jim X
JX
McDougall
Mary P
MP
Wright
Steve M
SM