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...
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0244286 |
| _version_ | 1811339488750731264 |
|---|---|
| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T18:27:25Z |
| format | Article |
| id | doaj.art-699389d87a414ce89f13e6a4d774aa11 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T18:27:25Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-699389d87a414ce89f13e6a4d774aa112022-12-22T02:35:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-011512e024428610.1371/journal.pone.0244286Closed-loop control of k-space sampling via physiologic feedback for cine MRI.Francisco ContijochYuchi HanSrikant Kamesh IyerPeter KellmanGene GualtieriMark A ElliottSebastian BerishaJoseph H GormanRobert C GormanJames J PillaWalter R T Witschey<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.https://doi.org/10.1371/journal.pone.0244286 |
| spellingShingle | 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. PLoS ONE |
| title | 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_short | 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 |
| url | https://doi.org/10.1371/journal.pone.0244286 |
| work_keys_str_mv | AT franciscocontijoch closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT yuchihan closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT srikantkameshiyer closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT peterkellman closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT genegualtieri closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT markaelliott closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT sebastianberisha closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT josephhgorman closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT robertcgorman closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT jamesjpilla closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri AT walterrtwitschey closedloopcontrolofkspacesamplingviaphysiologicfeedbackforcinemri |