Fast image reconstruction with L2-regularization

Fast image reconstruction with L2-regularization

Purpose We introduce L2-regularized reconstruction algorithms with closed-form solutions that achieve dramatic computational speed-up relative to state of the art L1- and L2-based iterative algorithms while maintaining similar image quality for various applications in MRI reconstruction. Materials...

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Bibliographic Details
Main Authors: Bilgic, Berkin, Chatnuntawech, Itthi, Fan, Audrey P., Setsompop, Kawin, Cauley, Stephen F., Adalsteinsson, Elfar, 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/1721.1/99708
https://orcid.org/0000-0002-4916-6314
https://orcid.org/0000-0002-7637-2914

Internet

http://hdl.handle.net/1721.1/99708
https://orcid.org/0000-0002-4916-6314
https://orcid.org/0000-0002-7637-2914

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