Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection

Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection

Purpose To enable fast reconstruction of quantitative susceptibility maps with total variation penalty and automatic regularization parameter selection. Methods ℓ[subscript 1]-Regularized susceptibility mapping is accelerated by variable splitting, which allows closed-form evaluation of each iterati...

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Main Authors: Bilgic, Berkin (Author), Fan, Audrey P. (Contributor), Polimeni, Jonathan R. (Author), Cauley, Stephen F. (Author), Bianciardi, Marta (Author), Adalsteinsson, Elfar (Contributor), Setsompop, Kawin (Author), Wald, Lawrence (Contributor)
Other Authors: Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor)
Format: Article
Language:English
Published: Wiley Blackwell, 2015-11-03T18:22:03Z.
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