Closed-loop control of k-space sampling via physiologic feedback for cine MRI
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https://datadryad.org/dataset/doi:10.6076/D1159C
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资源简介:
This dataset accompanies the manuscript outlining a method for closed-loop
sampling of k-space in response to physiologic changes. The closed-loop
approach enables near-uniform radial sampling in a segmented acquisition
approach which was higher than predetermined golden-angle radial sampling.
This can be utilized to increase the sampling or decrease the temporal
footprint of an acquisition and the closed-loop framework has the
potential to be applied to patients with complex heart rhythms. Briefly,
Segmented cine cardiac MRI combines data from multiple heartbeats to
achieve high spatiotemporal resolution cardiac images, yet predefined
k-space segmentation trajectories can lead to suboptimal k-space sampling.
In this work, we developed and evaluated an autonomous and closed-loop
control system for radial k-space sampling to increase sampling
uniformity. The dataset includes both the algorithm and the data used in
our manuscript. Our closed-loop system autonomously selects radial k-space
sampling trajectory during live segmented cine MRI and attempts to
optimize angular sampling uniformity by selecting views in regions of
k-space that were not previously well-sampled. Sampling uniformity and
robustness to arrhythmias was assessed using ECG data acquired from 10
normal subjects in an MRI scanner. The approach was then implemented with
a fast gradient echo sequence on a whole-body clinical MRI scanner and
imaging was performed in 4 healthy volunteers. The closed-loop k-space
trajectory was compared to random, uniformly distributed and golden angle
view trajectories via measurement of k-space uniformity and the point
spread function. Lastly, an arrhythmic dataset was used to evaluate a
potential application of the approach. The autonomous trajectory increased
k-space sampling uniformity by 15±7%, main lobe point spread function
(PSF) signal intensity by 6±4%, and reduced ringing relative to golden
angle sampling. When implemented, the autonomous pulse sequence prescribed
radial view angles faster than the scan TR (0.98 ± 0.01 ms, maximum = 1.38
ms) and increased k-space sampling mean uniformity by 10±11%, decreased
uniformity variability by 44±12%, and increased PSF signal ratio by 6±6%
relative to golden angle sampling. This data is shared with Creative
Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
提供机构:
Dryad
创建时间:
2020-12-15



