2018
DOI: 10.1002/jmri.25953
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High temporal resolution motion estimation using a self‐navigated simultaneous multi‐slice echo planar imaging acquisition

Abstract: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2018.

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Cited by 9 publications
(6 citation statements)
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References 23 publications
(34 reference statements)
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“…Simultaneous multi-slice (SMS) imaging is a newly developed acceleration technique using multi-band RF pulses, which can simultaneously excite, acquire, and reconstruct multiple slices and readout with two-dimensional images (Larkman et al, 2001;Kenkel et al, 2016;Norbeck et al, 2018;Teruel et al, 2018). With this technique, the imaging time can be largely reduced.…”
Section: Introductionmentioning
confidence: 99%
“…Simultaneous multi-slice (SMS) imaging is a newly developed acceleration technique using multi-band RF pulses, which can simultaneously excite, acquire, and reconstruct multiple slices and readout with two-dimensional images (Larkman et al, 2001;Kenkel et al, 2016;Norbeck et al, 2018;Teruel et al, 2018). With this technique, the imaging time can be largely reduced.…”
Section: Introductionmentioning
confidence: 99%
“…Simultaneous multisection imaging allows simultaneous excitation and acquisition of multiple sections, improving the signal-to-noise ratio and reducing acquisition time. By applying a section-specific phase gradient in k-space, the superimposed sections can be shifted with respect to one another to further improve the separation process (22).…”
Section: Current Clinicalmentioning
confidence: 99%
“…By separately estimating and then combining the motion time‐courses of stacks of simultaneously acquired slices, we can increase the sampling rate of motion parameter estimation to high temporal resolution (HighRes) (high effective sampling rate) and gain more insight into additional ways the subject and the subject’s brain move. Similar techniques of slice‐wise motion correction have been proposed before, 8 and applied for real‐time motion correction 9,10 using slice‐to‐volume registration, in which guided breath‐hold at 0.34 Hz could be observed in one subject 10 . Here we introduce a simple slice‐wise motion estimation method to extract high quality estimates of normal respiratory and cardiac “motion” waveforms from simultaneous multislice (SMS) fMRI data, providing important physiological information, otherwise unavailable for long repetition time (TR) data.…”
Section: Introductionmentioning
confidence: 98%