Abstract：
:In fast magnetic resonance (MR) imaging with long readout times, such as echo-planar imaging (EPI) and spiral scans, it is important to correct for the effects of field inhomogeneity to reduce image distortion and blurring. Such corrections require an accurate field map, a map of the off-resonance frequency at each voxel. Standard field map estimation methods yield noisy field maps, particularly in image regions with low spin density. This paper describes regularized methods for field map estimation from two or more MR scans having different echo times. These methods exploit the fact that field maps are generally smooth functions. The methods use algorithms that decrease monotonically a regularized least-squares cost function, even though the problem is highly nonlinear. Results show that the proposed regularized methods significantly improve the quality of field map estimates relative to conventional unregularized methods.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Funai AK,Fessler JA,Yeo DT,Olafsson VT,Noll DCdoi
10.1109/TMI.2008.923956subject
Has Abstractpub_date
2008-10-01 00:00:00pages
1484-94issue
10eissn
0278-0062issn
1558-254Xjournal_volume
27pub_type
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