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Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding
Cross-term spatiotemporal encoding (xSPEN) is a recently introduced imaging approach delivering single-scan 2D NMR images with unprecedented resilience to field inhomogeneities. The method relies on performing a pre-acquisition encoding and a subsequent image read out while using the disturbing freq...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740132/ https://www.ncbi.nlm.nih.gov/pubmed/29269941 http://dx.doi.org/10.1038/s41598-017-17947-1 |
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author | Solomon, Eddy Liberman, Gilad Zhang, Zhiyong Frydman, Lucio |
author_facet | Solomon, Eddy Liberman, Gilad Zhang, Zhiyong Frydman, Lucio |
author_sort | Solomon, Eddy |
collection | PubMed |
description | Cross-term spatiotemporal encoding (xSPEN) is a recently introduced imaging approach delivering single-scan 2D NMR images with unprecedented resilience to field inhomogeneities. The method relies on performing a pre-acquisition encoding and a subsequent image read out while using the disturbing frequency inhomogeneities as part of the image formation processes, rather than as artifacts to be overwhelmed by the application of external gradients. This study introduces the use of this new single-shot MRI technique as a diffusion-monitoring tool, for accessing regions that have hitherto been unapproachable by diffusion-weighted imaging (DWI) methods. In order to achieve this, xSPEN MRI’s intrinsic diffusion weighting effects are formulated using a customized, spatially-localized b-matrix analysis; with this, we devise a novel diffusion-weighting scheme that both exploits and overcomes xSPEN’s strong intrinsic weighting effects. The ability to provide reliable and robust diffusion maps in challenging head and brain regions, including the eyes and the optic nerves, is thus demonstrated in humans at 3T. New avenues for imaging other body regions are also briefly discussed. |
format | Online Article Text |
id | pubmed-5740132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57401322018-01-03 Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding Solomon, Eddy Liberman, Gilad Zhang, Zhiyong Frydman, Lucio Sci Rep Article Cross-term spatiotemporal encoding (xSPEN) is a recently introduced imaging approach delivering single-scan 2D NMR images with unprecedented resilience to field inhomogeneities. The method relies on performing a pre-acquisition encoding and a subsequent image read out while using the disturbing frequency inhomogeneities as part of the image formation processes, rather than as artifacts to be overwhelmed by the application of external gradients. This study introduces the use of this new single-shot MRI technique as a diffusion-monitoring tool, for accessing regions that have hitherto been unapproachable by diffusion-weighted imaging (DWI) methods. In order to achieve this, xSPEN MRI’s intrinsic diffusion weighting effects are formulated using a customized, spatially-localized b-matrix analysis; with this, we devise a novel diffusion-weighting scheme that both exploits and overcomes xSPEN’s strong intrinsic weighting effects. The ability to provide reliable and robust diffusion maps in challenging head and brain regions, including the eyes and the optic nerves, is thus demonstrated in humans at 3T. New avenues for imaging other body regions are also briefly discussed. Nature Publishing Group UK 2017-12-21 /pmc/articles/PMC5740132/ /pubmed/29269941 http://dx.doi.org/10.1038/s41598-017-17947-1 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Solomon, Eddy Liberman, Gilad Zhang, Zhiyong Frydman, Lucio Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
title | Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
title_full | Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
title_fullStr | Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
title_full_unstemmed | Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
title_short | Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
title_sort | diffusion mri measurements in challenging head and brain regions via cross-term spatiotemporally encoding |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5740132/ https://www.ncbi.nlm.nih.gov/pubmed/29269941 http://dx.doi.org/10.1038/s41598-017-17947-1 |
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