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Model-based iterative reconstruction for single-shot EPI at 7T
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Metadata
Document Title
Model-based iterative reconstruction for single-shot EPI at 7T
Author
Yarach U, In MH, Chatnuntawech I, Bilgic B, Godenschweger F, Mattern H, Sciarra A, Speck O
Name from Authors Collection
Affiliations
Otto von Guericke University; Chiang Mai University; Mayo Clinic; National Science & Technology Development Agency - Thailand; National Nanotechnology Center (NANOTEC); Harvard University; Harvard Medical School; Harvard University; Massachusetts General Hospital; Leibniz Institut fur Neurobiologie (LIN); Helmholtz Association; German Center for Neurodegenerative Diseases (DZNE)
Type
Article
Source Title
MAGNETIC RESONANCE IN MEDICINE
Year
2017
Volume
78
Issue
6
Page
2250-2264
Open Access
Green Accepted
Publisher
WILEY
DOI
10.1002/mrm.26633
Format
Abstract
PurposeTo describe a model-based reconstruction strategy for single-shot echo planar imaging (EPI) that intrinsically accounts for k-space nonuniformity, Nyquist ghosting, and geometric distortions during rather than before or after image reconstruction. MethodsRamp sampling and inhomogeneous B0 field-induced distortion cause the EPI samples to lie on a non-Cartesian grid, thus requiring the nonuniform fast Fourier transform. Additionally, a 2D Nyquist ghost phase correction without the need for extra navigator acquisition is included in the proposed reconstruction. Coil compression is also incorporated to reduce the computational load. The proposed method is applied to phantom and human brain MRI data. ResultsThe results demonstrate that Nyquist ghosting and geometric distortions are reduced by the proposed reconstruction. The proposed 2D phase correction is superior to a conventional 1D correction. The reductions of both artifacts lead to improved temporal signal-to-noise ratio (tSNR). The virtual coil results suggest that the processing time can be reduced by up to 75%, with a mean tSNR loss of only 3.2% when using 8-virtual instead of 32-physical coils for twofold undersampled data. ConclusionThe proposed reconstruction improves the quality (ghosting, geometry, and tSNR) of EPI without requiring calibration data for Nyquist ghost correction. Magn Reson Med 78:2250-2264, 2017. (c) 2017 International Society for Magnetic Resonance in Medicine.
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Knowledge Taxonomy Level 1
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Funding Sponsor
German Research Foundation DFG [SP6324]; National Institutes of Health [R01-DA021146]; FP7 Marie Curie Actions of the European Commission [FP7-PEOPLE-2012-ITN-316716]; NATIONAL INSTITUTE ON DRUG ABUSE [R01DA021146] Funding Source: NIH RePORTER
License
Copyright
Rights
International Society for Magnetic Resonance in Medicine
Publication Source
WOS