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 iter...

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Bibliographic Details
Main Authors: Bilgic, Berkin, Fan, Audrey P., Polimeni, Jonathan R., Cauley, Stephen F., Bianciardi, Marta, Adalsteinsson, Elfar, Setsompop, Kawin, Wald, Lawrence
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:en_US
Published: Wiley Blackwell 2015
Online Access:http://hdl.handle.net/1721.1/99688
https://orcid.org/0000-0002-7637-2914

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