Regularized least squares estimating sensitivity for self-calibrating parallel imaging

Liu, XiaoFang, Ye, Xiuzi, Zhang, Sanyuan and Liu, Feng (2011) Regularized least squares estimating sensitivity for self-calibrating parallel imaging. Journal of Computers, 6 5: 857-864. doi:10.4304/jcp.6.5.857-864

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Author Liu, XiaoFang
Ye, Xiuzi
Zhang, Sanyuan
Liu, Feng
Title Regularized least squares estimating sensitivity for self-calibrating parallel imaging
Journal name Journal of Computers
ISSN 1796-203X
Publication date 2011
Year available 2011
Sub-type Article (original research)
DOI 10.4304/jcp.6.5.857-864
Open Access Status DOI
Volume 6
Issue 5
Start page 857
End page 864
Total pages 8
Place of publication Oulu, Finland
Publisher Academy Publisher
Collection year 2012
Language eng
Subject 1700 Computer Science
Abstract Calibration of the spatial sensitivity functions of coil arrays is a crucial element in parallel magnetic resonance imaging (pMRI). The self-calibrating technique for sensitivity extraction has complemented the common calibration technique that uses a separate pre-scan. In order to improve the accuracy of sensitivity estimate from small number of self-calibrating data, which is extracted from a fully sampled central region of a variable-density k-space acquisition in self-calibrating parallel images, a novel scheme for estimating the sensitivity profiles is proposed in the paper. On consideration of truncation error and measurement errors in self-calibrating data, the issue of calculating sensitivity would be formulated as a regularized least squares estimation problem, which is solved by the preconditioned conjugate gradients algorithm. When applying the estimated coil sensitivity to reconstruct full field-of-view(FOV) image from the under-sampling simulated and in vivo data, the normalized signal-to-noise ratio (NSNR) of reconstruction image is evidently improved, and meanwhile the normalized mean squared error (NMSE) is remarkably reduced, especially when a rather large accelerate factor is used.
Keyword Generalized encoding matrix(GEM) reconstruction
Parallel magnetic resonance imaging (pMRI)
Preconditioned conjugate gradients (PCG)
Regularized least squares (RLS)
Self-calibrating technique
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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