Optimization of sensitivity encoding with arbitrary k-space trajectories.Magn Reson Imaging. 2007 Oct; 25(8):1123-9.MR
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.
Links
MeSH
Pub Type(s)
Journal Article
Research Support, Non-U.S. Gov't
Language
eng
PubMed ID
17905244
Citation
Bydder, Mark, et al. "Optimization of Sensitivity Encoding With Arbitrary K-space Trajectories." Magnetic Resonance Imaging, vol. 25, no. 8, 2007, pp. 1123-9.
Bydder M, Perthen JE, Du J. Optimization of sensitivity encoding with arbitrary k-space trajectories. Magn Reson Imaging. 2007;25(8):1123-9.
Bydder, M., Perthen, J. E., & Du, J. (2007). Optimization of sensitivity encoding with arbitrary k-space trajectories. Magnetic Resonance Imaging, 25(8), 1123-9.
Bydder M, Perthen JE, Du J. Optimization of Sensitivity Encoding With Arbitrary K-space Trajectories. Magn Reson Imaging. 2007;25(8):1123-9. PubMed PMID: 17905244.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR
T1 - Optimization of sensitivity encoding with arbitrary k-space trajectories.
AU - Bydder,Mark,
AU - Perthen,Joanna E,
AU - Du,Jiang,
Y1 - 2007/02/20/
PY - 2006/10/02/received
PY - 2006/12/24/revised
PY - 2007/01/05/accepted
PY - 2007/10/2/pubmed
PY - 2007/12/6/medline
PY - 2007/10/2/entrez
SP - 1123
EP - 9
JF - Magnetic resonance imaging
JO - Magn Reson Imaging
VL - 25
IS - 8
N2 - 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.
SN - 0730-725X
UR - https://www.unboundmedicine.com/medline/citation/17905244/Optimization_of_sensitivity_encoding_with_arbitrary_k_space_trajectories_
L2 - https://linkinghub.elsevier.com/retrieve/pii/S0730-725X(07)00004-5
DB - PRIME
DP - Unbound Medicine
ER -