Premium
Reduction of artifacts by optimization of the sensitivity map in sensitivity‐encoded spectroscopic imaging
Author(s) -
Zhao Xiaoli,
Prost Robert W.,
Li Zhu,
Li ShiJiang
Publication year - 2005
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.20325
Subject(s) - sensitivity (control systems) , sense (electronics) , reduction (mathematics) , resolution (logic) , signal (programming language) , iterative reconstruction , image resolution , computer science , artificial intelligence , computer vision , image (mathematics) , nuclear magnetic resonance , physics , chemistry , mathematics , geometry , electronic engineering , engineering , programming language
Sensitivity‐encoded spectroscopic imaging (SENSE‐SI) reduces scanning time by using multiple coils for parallel signal acquisition. Significant artifacts could be induced by SENSE‐SI, mainly due to the low‐resolution nature of spectroscopic imaging. The present study introduces a novel method to reduce the artifacts. High‐resolution sensitivity maps are used in low‐resolution SENSE reconstruction. An intermediate unaliased image is obtained after SENSE reconstruction. Based on the intermediate image, the sensitivity maps are optimized and then the SENSE reconstruction is performed again. The final unaliased image has significantly reduced artifacts. Magn Reson Med 53:30–34, 2005. © 2004 Wiley‐Liss, Inc.