Ontology highlight
ABSTRACT:
SUBMITTER: Ramani S
PROVIDER: S-EPMC3735835 | biostudies-literature | 2013 Aug
REPOSITORIES: biostudies-literature
Ramani Sathish S Weller Daniel S DS Nielsen Jon-Fredrik JF Fessler Jeffrey A JA
IEEE transactions on medical imaging 20130412 8
Magnetic resonance image (MRI) reconstruction from undersampled k-space data requires regularization to reduce noise and aliasing artifacts. Proper application of regularization however requires appropriate selection of associated regularization parameters. In this work, we develop a data-driven regularization parameter adjustment scheme that minimizes an estimate [based on the principle of Stein's unbiased risk estimate (SURE)] of a suitable weighted squared-error measure in k-space. To compute ...[more]