Literature DB >> 33300182

Minimizing echo and repetition times in magnetic resonance imaging using a double half-echo k-space acquisition and low-rank reconstruction.

Mark Bydder1, Fadil Ali1, Vahid Ghodrati1, Peng Hu1, Jingwen Yao1,2, Benjamin M Ellingson1,2,3.   

Abstract

Sampling k-space asymmetrically (ie, partial Fourier sampling) in the readout direction is a common way to reduce the echo time (TE) during magnetic resonance image acquisitions. This technique requires overlap around the center of k-space to provide a calibration region for reconstruction, which limits the minimum fractional echo to ~60% before artifacts are observed. The present study describes a method for reconstructing images from exact half echoes using two separate acquisitions with reversed readout polarity, effectively providing a full line of k-space without additional data around central k-space. This approach can benefit sequences or applications that prioritize short TE, short inter-echo spacing or short repetition time. An example of the latter is demonstrated to reduce banding artifacts in balanced steady-state free precession.
© 2020 John Wiley & Sons, Ltd.

Entities:  

Keywords:  low rank; partial Fourier

Mesh:

Year:  2020        PMID: 33300182      PMCID: PMC7935763          DOI: 10.1002/nbm.4458

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.478


  18 in total

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8.  Low-rank modeling of local k-space neighborhoods (LORAKS) for constrained MRI.

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Journal:  IEEE Trans Med Imaging       Date:  2014-03       Impact factor: 10.048

9.  Reference-free single-pass EPI Nyquist ghost correction using annihilating filter-based low rank Hankel matrix (ALOHA).

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Journal:  Magn Reson Med       Date:  2016-02-17       Impact factor: 4.668

10.  Hexagonal gradient scheme with RF spoiling improves spoiling performance for high-flip-angle fast gradient echo imaging.

Authors:  Aaron T Hess; Matthew D Robson
Journal:  Magn Reson Med       Date:  2016-04-01       Impact factor: 4.668

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