NDLI: Regularized MR coil sensitivity estimation using augmented Lagrangian methods

Content Provider	IEEE Xplore Digital Library
Author	Allison, M.J. Ramani, S. Fessler, J.A.
Copyright Year	2012
Description	Author affiliation: University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA (Allison, M.J.; Ramani, S.; Fessler, J.A.)
Abstract	Several magnetic resonance (MR) parallel imaging techniques require explicit estimates of the receive coil sensitivity profiles. These estimates must be accurate over both the object and its surrounding regions to avoid generating artifacts in the reconstructed images. Statistical estimation methods provide robust sensitivity estimates but can be computationally expensive. In this paper, we propose an augmented Lagrangian (AL) based method that estimates the coil sensitivity by minimizing a quadratic cost function. This method reformulates the finite differencing matrix to allow for exact alternating minimization steps. We also explore a variation of our algorithm that involves intermediate updating of the Lagrange multipliers. We demonstrate that our proposed algorithm converges in half the time of the traditional conjugate gradient method with a circulant precon-ditioner (PCG) on a real data set.
Starting Page	394
Ending Page	397
File Size	224549
Page Count	4
File Format	PDF
ISBN	9781457718571
ISSN	19457928
e-ISBN	9781457718588
DOI	10.1109/ISBI.2012.6235567
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-02
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Coils Sensitivity Estimation Minimization Convergence Imaging Cost function parallel imaging coil sensitivity augmented Lagrangian quadratic minimization finite differences
Content Type	Text
Resource Type	Article

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