An approach of deriving relative sensitivity profiles for image reconstruction in MRI

Tieng, Q. M., Ullman, P., Galloway, G. J., Hennig, J., Cowin, G. J. and Vegh, V. (2008) An approach of deriving relative sensitivity profiles for image reconstruction in MRI. IEEE Journal of Selected Topics in Signal Processing, 2 6: 817-827. doi:10.1109/JSTSP.2008.2006719


Author Tieng, Q. M.
Ullman, P.
Galloway, G. J.
Hennig, J.
Cowin, G. J.
Vegh, V.
Title An approach of deriving relative sensitivity profiles for image reconstruction in MRI
Journal name IEEE Journal of Selected Topics in Signal Processing   Check publisher's open access policy
ISSN 1932-4553
Publication date 2008-12-01
Sub-type Article (original research)
DOI 10.1109/JSTSP.2008.2006719
Volume 2
Issue 6
Start page 817
End page 827
Total pages 11
Editor A. L. Swindlehurst
Place of publication Piscataway, N.J., U.S.
Publisher Institute of Electrical and Electronic Engineers Inc
Collection year 2009
Language eng
Subject C1
110320 Radiology and Organ Imaging
920203 Diagnostic Methods
Abstract The determination of accurate coil sensitivity profiles is crucial for parallel MRI approaches such as SMASH, SENSE, and SPACE-RIP. In classical SENSE the profiles are determined using a so-called calibration scan through division of array and body coil images sampled with full field of view (FOV). However, as this relies on the availability of a body coil, there exist many situations where this is not possible. This research work outlines the method of calculating sensitivity maps of array coil elements relative to one particular reference array element using complex weighting coefficients, based on a few lines of central k-space data, similar to those used in the GRAPPA method. The approach provides relative sensitivities with a smooth boundary between objects and image background. When the relative sensitivities are used in a SENSE algorithm, referred to as relative SENSE (rSENSE), the reconstructed image corresponds to a fully sampled image taken by the reference array element. The images of other elements are then obtained by multiplying the reference image by their relative sensitivities. Results provided for the proposed approach of deriving relative sensitivity profiles for fast image reconstruction show that the technique provides images with fewer artifacts. The findings are established with reference to SFDD, SPDD, and GRAPPA.
Q-Index Code C1
Q-Index Status Confirmed Code

Document type: Journal Article
Sub-type: Article (original research)
Collection: 2009 Higher Education Research Data Collection
 
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Created: Tue, 31 Mar 2009, 21:56:10 EST by Lesley-Jayne Jerrard on behalf of Centre For Magnetic Resonance