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Fast automatic linear off‐resonance correction method for spiral imaging
Author(s) -
Chen Weitian,
Meyer Craig H.
Publication year - 2006
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.20973
Subject(s) - a priori and a posteriori , spiral (railway) , computer science , field (mathematics) , artificial intelligence , computation , magnetic resonance imaging , computer vision , k space , iterative reconstruction , resonance (particle physics) , algorithm , mathematics , physics , radiology , medicine , mathematical analysis , philosophy , epistemology , particle physics , pure mathematics
Field inhomogeneity and susceptibility variations, coupled with a long readout, can result in image blurring in spiral imaging. Many correction methods based on a priori off‐resonance information, such as an acquired field map, have been proposed in the literature. Automatic off‐resonance correction methods are alternative approaches that estimate a field map from the image data themselves. In this paper we propose a fast automatic off‐resonance correction method that performs linear correction without acquiring a field map. The method requires only about two times the total computation time compared to image reconstruction by gridding. It can also be used in combination with a full field map automatic off‐resonance correction method to increase the extent of correction. The method is demonstrated by in vivo coronary artery imaging. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.