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Motion corrected silent ZTE neuroimaging
PURPOSE: To develop self‐navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. METHODS: The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigato...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321117/ https://www.ncbi.nlm.nih.gov/pubmed/35381110 http://dx.doi.org/10.1002/mrm.29201 |
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author | Ljungberg, Emil Wood, Tobias C. Solana, Ana Beatriz Williams, Steven C. R. Barker, Gareth J. Wiesinger, Florian |
author_facet | Ljungberg, Emil Wood, Tobias C. Solana, Ana Beatriz Williams, Steven C. R. Barker, Gareth J. Wiesinger, Florian |
author_sort | Ljungberg, Emil |
collection | PubMed |
description | PURPOSE: To develop self‐navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. METHODS: The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigators) achieves self‐navigation by using interleaved 3D phyllotaxis k‐space sampling. Low resolution navigator images are reconstructed continuously throughout the ZTE acquisition using a sliding window and co‐registered in image space relative to a fixed reference position. Rigid body motion corrections are then applied retrospectively to the k‐space trajectory and raw data and reconstructed into a final, high‐resolution ZTE image. RESULTS: MERLIN demonstrated successful and consistent motion correction for magnetization prepared ZTE images for a range of different instructed motion paradigms. The acoustic noise response of the self‐navigated phyllotaxis trajectory was found to be only slightly above ambient noise levels (<4 dBA). CONCLUSION: Silent ZTE imaging combined with MERLIN addresses two major challenges intrinsic to MRI (i.e., subject motion and acoustic noise) in a synergistic and integrated manner without increase in scan time and thereby forms a versatile and powerful framework for clinical and research MR neuroimaging applications. |
format | Online Article Text |
id | pubmed-9321117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93211172022-07-30 Motion corrected silent ZTE neuroimaging Ljungberg, Emil Wood, Tobias C. Solana, Ana Beatriz Williams, Steven C. R. Barker, Gareth J. Wiesinger, Florian Magn Reson Med Research Articles—Imaging Methodology PURPOSE: To develop self‐navigated motion correction for 3D silent zero echo time (ZTE) based neuroimaging and characterize its performance for different types of head motion. METHODS: The proposed method termed MERLIN (Motion Estimation & Retrospective correction Leveraging Interleaved Navigators) achieves self‐navigation by using interleaved 3D phyllotaxis k‐space sampling. Low resolution navigator images are reconstructed continuously throughout the ZTE acquisition using a sliding window and co‐registered in image space relative to a fixed reference position. Rigid body motion corrections are then applied retrospectively to the k‐space trajectory and raw data and reconstructed into a final, high‐resolution ZTE image. RESULTS: MERLIN demonstrated successful and consistent motion correction for magnetization prepared ZTE images for a range of different instructed motion paradigms. The acoustic noise response of the self‐navigated phyllotaxis trajectory was found to be only slightly above ambient noise levels (<4 dBA). CONCLUSION: Silent ZTE imaging combined with MERLIN addresses two major challenges intrinsic to MRI (i.e., subject motion and acoustic noise) in a synergistic and integrated manner without increase in scan time and thereby forms a versatile and powerful framework for clinical and research MR neuroimaging applications. John Wiley and Sons Inc. 2022-04-05 2022-07 /pmc/articles/PMC9321117/ /pubmed/35381110 http://dx.doi.org/10.1002/mrm.29201 Text en © 2022 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles—Imaging Methodology Ljungberg, Emil Wood, Tobias C. Solana, Ana Beatriz Williams, Steven C. R. Barker, Gareth J. Wiesinger, Florian Motion corrected silent ZTE neuroimaging |
title | Motion corrected silent ZTE neuroimaging |
title_full | Motion corrected silent ZTE neuroimaging |
title_fullStr | Motion corrected silent ZTE neuroimaging |
title_full_unstemmed | Motion corrected silent ZTE neuroimaging |
title_short | Motion corrected silent ZTE neuroimaging |
title_sort | motion corrected silent zte neuroimaging |
topic | Research Articles—Imaging Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9321117/ https://www.ncbi.nlm.nih.gov/pubmed/35381110 http://dx.doi.org/10.1002/mrm.29201 |
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