Closed-loop control of k-space sampling via physiologic feedback for cine MRI.

<h4>Background</h4>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...

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Autores principales:	Francisco Contijoch, Yuchi Han, Srikant Kamesh Iyer, Peter Kellman, Gene Gualtieri, Mark A Elliott, Sebastian Berisha, Joseph H Gorman, Robert C Gorman, James J Pilla, Walter R T Witschey
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/699389d87a414ce89f13e6a4d774aa11
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spelling	oai:doaj.org-article:699389d87a414ce89f13e6a4d774aa112021-12-02T20:15:51ZClosed-loop control of k-space sampling via physiologic feedback for cine MRI.1932-620310.1371/journal.pone.0244286https://doaj.org/article/699389d87a414ce89f13e6a4d774aa112020-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0244286https://doaj.org/toc/1932-6203<h4>Background</h4>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 (ARKS) to increase sampling uniformity.<h4>Methods</h4>The 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 the ability to detect cardiac phase in vivo 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.<h4>Results</h4>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.<h4>Conclusion</h4>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.Francisco ContijochYuchi HanSrikant Kamesh IyerPeter KellmanGene GualtieriMark A ElliottSebastian BerishaJoseph H GormanRobert C GormanJames J PillaWalter R T WitscheyPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 15, Iss 12, p e0244286 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Francisco Contijoch Yuchi Han Srikant Kamesh Iyer Peter Kellman Gene Gualtieri Mark A Elliott Sebastian Berisha Joseph H Gorman Robert C Gorman James J Pilla Walter R T Witschey Closed-loop control of k-space sampling via physiologic feedback for cine MRI.
description	<h4>Background</h4>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 (ARKS) to increase sampling uniformity.<h4>Methods</h4>The 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 the ability to detect cardiac phase in vivo 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.<h4>Results</h4>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.<h4>Conclusion</h4>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.
format	article
author	Francisco Contijoch Yuchi Han Srikant Kamesh Iyer Peter Kellman Gene Gualtieri Mark A Elliott Sebastian Berisha Joseph H Gorman Robert C Gorman James J Pilla Walter R T Witschey
author_facet	Francisco Contijoch Yuchi Han Srikant Kamesh Iyer Peter Kellman Gene Gualtieri Mark A Elliott Sebastian Berisha Joseph H Gorman Robert C Gorman James J Pilla Walter R T Witschey
author_sort	Francisco Contijoch
title	Closed-loop control of k-space sampling via physiologic feedback for cine MRI.
title_short	Closed-loop control of k-space sampling via physiologic feedback for cine MRI.
title_full	Closed-loop control of k-space sampling via physiologic feedback for cine MRI.
title_fullStr	Closed-loop control of k-space sampling via physiologic feedback for cine MRI.
title_full_unstemmed	Closed-loop control of k-space sampling via physiologic feedback for cine MRI.
title_sort	closed-loop control of k-space sampling via physiologic feedback for cine mri.
publisher	Public Library of Science (PLoS)
publishDate	2020
url	https://doaj.org/article/699389d87a414ce89f13e6a4d774aa11
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Closed-loop control of k-space sampling via physiologic feedback for cine MRI.

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