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SENSE with improved tolerance to inaccuracies in coil sensitivity maps
Author(s) -
Peeters Johannes M.,
Fuderer Miha
Publication year - 2013
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.24400
Subject(s) - electromagnetic coil , weighting , sensitivity (control systems) , algorithm , computer science , artifact (error) , signal to noise ratio (imaging) , noise (video) , overdetermined system , subtractive color , mathematics , artificial intelligence , acoustics , electronic engineering , optics , image (mathematics) , physics , telecommunications , quantum mechanics , engineering , mathematical analysis
In this work, an extension of the Cartesian sensitivity encoding (SENSE) parallel imaging framework is proposed. In the well‐known SENSE solution, the overdetermined reconstruction inversion problem is optimized to get the highest signal‐to‐noise ratio in the image. In this extension, the probability of artifacts due to incorrect knowledge of the receiver coil sensitivities is also taken into account. This is realized by assuming an uncertainty in measured receiver coil sensitivities to enable weighting of residual artifact level and signal‐to‐noise ratio in the inversion problem. This inversion problem can still be solved by a least‐squares optimization without the need of any complex iterative scheme. Results in abdominal imaging show that artifact levels can be substantially reduced, at the cost of a signal‐to‐noise ratio penalty. The size of the signal‐to‐noise ratio penalty depends on the assumed inaccuracy of the coil sensitivities, sensitivity encoding acceleration factor, and coil configuration. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.