Optimization of sensitivity encoding with arbitrary k-space trajectories

Mark Bydder; Joanna E Perthen; Jiang Du

doi:10.1016/j.mri.2007.01.003

Optimization of sensitivity encoding with arbitrary k-space trajectories

Magn Reson Imaging. 2007 Oct;25(8):1123-9. doi: 10.1016/j.mri.2007.01.003. Epub 2007 Feb 20.

Authors

Mark Bydder¹, Joanna E Perthen, Jiang Du

Affiliation

¹ Department of Radiology, MRI3 Research, University of California San Diego, San Diego, CA 92103-8226, USA. mbydder@ucsd.edu

PMID: 17905244
DOI: 10.1016/j.mri.2007.01.003

Abstract

Sensitivity encoding (SENSE) is a magnetic resonance technique that unifies gradient and receive coil encoding. SENSE reconstructs the image by solving a large, ill-conditioned inverse problem, which generally requires regularization and preconditioning. The present study suggests a simple heuristic for determining the regularization parameter. Also discussed are the use of density weighting and intensity correction as preconditioners and the role that coil sensitivity estimation has in regularization. A modification to the intensity correction is proposed for use with a phase constraint.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms*
Brain / anatomy & histology*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Information Storage and Retrieval / methods*
Magnetic Resonance Imaging / methods*
Reproducibility of Results
Sensitivity and Specificity