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  Self‐calibrated trajectory estimation and signal correction method for robust radial imaging using GRAPPA operator gridding

Deshmane, A., Blaimer, M., Breuer, F., Jakob, D., Duerk, J., Seiberlich, N., et al. (2016). Self‐calibrated trajectory estimation and signal correction method for robust radial imaging using GRAPPA operator gridding. Magnetic Resonance in Medicine, 75(2), 883-896. doi:10.1002/mrm.25648.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-9AD1-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-9AD2-F
Genre: Journal Article

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Deshmane, A1, Author              
Blaimer, M, Author
Breuer, F, Author
Jakob, D, Author
Duerk, J, Author
Seiberlich, N, Author
Griswold, M, Author
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1External Organizations, ou_persistent22              

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 Abstract: Purpose In radial imaging, projections may become “miscentered” due to gradient errors such as delays and eddy currents. These errors may result in image artifacts and can disrupt the reliability of direct current (DC) navigation. The proposed parallel imaging–based technique retrospectively estimates trajectory error from miscentered radial data without extra acquisitions, hardware, or sequence modification. Theory and Methods After phase correction, self‐calibrated GRAPPA operator gridding (GROG) weights are iteratively applied to shift‐miscentered projections toward the center of k‐space. A search algorithm identifies the shift that aligns the peak k‐space signals by maximizing the sum‐of‐squares DC signal estimate of each projection. The algorithm returns a trajectory estimate and a corrected radial k‐space signal. Results Data from a spherical phantom, the head, and the heart demonstrate that image reconstruction with the estimated trajectory restores image quality and reduces artifacts such as streaks and signal voids. The DC signal level is increased and variability is reduced. Conclusion Retrospective phase correction and iterative application of GROG can be used to successfully estimate the trajectory error in two‐dimensional radial acquisitions for improved image reconstruction without requiring extra data acquisition or sequence modification.

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 Dates: 2016-02
 Publication Status: Published in print
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 Identifiers: DOI: 10.1002/mrm.25648
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Title: Magnetic Resonance in Medicine
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 75 (2) Sequence Number: - Start / End Page: 883 - 896 Identifier: ISSN: 0740-3194
CoNE: https://pure.mpg.de/cone/journals/resource/954925538149