Factorized sensitivity estimation for artifact suppression in phase‐cycled bSSFP MRI

Objective: Balanced steady‐state free precession (bSSFP) imaging suffers from banding artifacts in the presence of magnetic field inhomogeneity. The purpose of this study is to identify an efficient strategy to reconstruct banding‐free bSSFP images from multi‐coil multi‐acquisition datasets. Method:...

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Bibliographic Details
Published in:NMR in biomedicine 2020-04, Vol.33 (4), p.e4228-n/a
Main Authors: Bıyık, Erdem, Keskin, Kübra, UH Dar, Salman, Koç, Aykut, Çukur, Tolga
Format: Article
Language:English
Subjects:
artifact suppression
balanced SSFP
banding artifact
Biological products
coil combination
Computer applications
Computer Simulation
Databases as Topic
Image acquisition
Image reconstruction
In vivo methods and tests
Inhomogeneity
joint reconstruction
Magnetic fields
Magnetic Resonance Imaging
Phantoms, Imaging
Sensitivity
Sensitivity analysis
sensitivity estimation
Signal-To-Noise Ratio
Time Factors
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Summary:Objective: Balanced steady‐state free precession (bSSFP) imaging suffers from banding artifacts in the presence of magnetic field inhomogeneity. The purpose of this study is to identify an efficient strategy to reconstruct banding‐free bSSFP images from multi‐coil multi‐acquisition datasets. Method: Previous techniques either assume that a naïve coil‐combination is performed a priori resulting in suboptimal artifact suppression, or that artifact suppression is performed for each coil separately at the expense of significant computational burden. Here we propose a tailored method that factorizes the estimation of coil and bSSFP sensitivity profiles for improved accuracy and/or speed. Results: In vivo experiments show that the proposed method outperforms naïve coil‐combination and coil‐by‐coil processing in terms of both reconstruction quality and time. Conclusion: The proposed method enables computationally efficient artifact suppression for phase‐cycled bSSFP imaging with modern coil arrays. Rapid imaging applications can efficiently benefit from the improved robustness of bSSFP imaging against field inhomogeneity. An efficient strategy for reconstruction of banding‐free bSSFP images from multi‐coil multi‐acquisition is proposed. The current method factorizes the estimation of coil and bSSFP sensitivity profiles for improved accuracy and/or speed. Experiments show that the proposed method outperforms previous techniques in terms of both reconstruction quality and time. Rapid imaging applications can benefit from the improved robustness of bSSFP imaging against field inhomogeneity.
ISSN:0952-3480
1099-1492
DOI:10.1002/nbm.4228