Joint estimation and correction of geometric distortions for EPI functional MRI using harmonic retrieval
Name
Nguyen-2009-Joint estimation and correction of geometric distortions for EPI functional MRI using harmonic retrieval.pdf
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1.45 MB
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Author(s)
Nguyen, Hien M.
Sutton, Bradley P.
Morrison, Robert L., Jr.
Do, Minh N.
Date Issued
February 2009
Journal
IEEE Transactions on Medical Imaging
Publisher
Institute of Electrical and Electronics Engineers
Citation
Nguyen, H.M. et al. “Joint Estimation and Correction of Geometric Distortions for EPI Functional MRI Using Harmonic Retrieval.” Medical Imaging, IEEE Transactions on 28.3 (2009): 423-434. © Copyright 2009
Version
Final published version
Abstract
Magnetic resonance imaging (MRI) uses applied spatial variations in the magnetic field to encode spatial position. Therefore, nonuniformities in the main magnetic field can cause image distortions. In order to correct the image distortions, it is desirable to simultaneously acquire data with a field map in registration. We propose a joint estimation (JE) framework with a fast, noniterative approach using harmonic retrieval (HR) methods, combined with a multi-echo echo-planar imaging (EPI) acquisition. The connection with HR establishes an elegant framework to solve the JE problem through a sequence of 1-D HR problems in which efficient solutions are available. We also derive the condition on the smoothness of the field map in order for HR techniques to recover the image with high signal-to-noise ratio. Compared to other dynamic field mapping methods, this method is not constrained by the absolute level of the field inhomogeneity over the slice, but relies on a generous pixel-to-pixel smoothness. Moreover, this method can recover image, field map, and T2* map simultaneously.
MIT Department
Lincoln Laboratory
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1109/TMI.2008.2006530
