title: Adaptive SENSE reconstruction for parallel imaging with massive array coils.
abstract: 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.
authors.affiliation: Dept. of Electr. Eng., Texas A&M Univ., TX, USA.
authors.forename: Jong Bum
authors.initials: JB
authors.lastname: Son
authors.forename: Jim X
authors.initials: JX
authors.lastname: Ji
authors.forename: Mary P
authors.initials: MP
authors.lastname: McDougall
authors.forename: Steve M
authors.initials: SM
authors.lastname: Wright