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Minimum Field Strength Simulator for Proton Density Weighted MRI
OBJECTIVE: To develop and evaluate a framework for simulating low-field proton-density weighted MRI acquisitions based on high-field acquisitions, which could be used to predict the minimum B(0) field strength requirements for MRI techniques. This framework would be particularly useful in the evalua...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852924/ https://www.ncbi.nlm.nih.gov/pubmed/27136334 http://dx.doi.org/10.1371/journal.pone.0154711 |
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author | Wu, Ziyue Chen, Weiyi Nayak, Krishna S. |
author_facet | Wu, Ziyue Chen, Weiyi Nayak, Krishna S. |
author_sort | Wu, Ziyue |
collection | PubMed |
description | OBJECTIVE: To develop and evaluate a framework for simulating low-field proton-density weighted MRI acquisitions based on high-field acquisitions, which could be used to predict the minimum B(0) field strength requirements for MRI techniques. This framework would be particularly useful in the evaluation of de-noising and constrained reconstruction techniques. MATERIALS AND METHODS: Given MRI raw data, lower field MRI acquisitions can be simulated based on the signal and noise scaling with field strength. Certain assumptions are imposed for the simulation and their validity is discussed. A validation experiment was performed using a standard resolution phantom imaged at 0.35 T, 1.5 T, 3 T, and 7 T. This framework was then applied to two sample proton-density weighted MRI applications that demonstrated estimation of minimum field strength requirements: real-time upper airway imaging and liver proton-density fat fraction measurement. RESULTS: The phantom experiment showed good agreement between simulated and measured images. The SNR difference between simulated and measured was ≤ 8% for the 1.5T, 3T, and 7T cases which utilized scanners with the same geometry and from the same vendor. The measured SNR at 0.35T was 1.8- to 2.5-fold less than predicted likely due to unaccounted differences in the RF receive chain. The predicted minimum field strength requirements for the two sample applications were 0.2 T and 0.3 T, respectively. CONCLUSIONS: Under certain assumptions, low-field MRI acquisitions can be simulated from high-field MRI data. This enables prediction of the minimum field strength requirements for a broad range of MRI techniques. |
format | Online Article Text |
id | pubmed-4852924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-48529242016-05-13 Minimum Field Strength Simulator for Proton Density Weighted MRI Wu, Ziyue Chen, Weiyi Nayak, Krishna S. PLoS One Research Article OBJECTIVE: To develop and evaluate a framework for simulating low-field proton-density weighted MRI acquisitions based on high-field acquisitions, which could be used to predict the minimum B(0) field strength requirements for MRI techniques. This framework would be particularly useful in the evaluation of de-noising and constrained reconstruction techniques. MATERIALS AND METHODS: Given MRI raw data, lower field MRI acquisitions can be simulated based on the signal and noise scaling with field strength. Certain assumptions are imposed for the simulation and their validity is discussed. A validation experiment was performed using a standard resolution phantom imaged at 0.35 T, 1.5 T, 3 T, and 7 T. This framework was then applied to two sample proton-density weighted MRI applications that demonstrated estimation of minimum field strength requirements: real-time upper airway imaging and liver proton-density fat fraction measurement. RESULTS: The phantom experiment showed good agreement between simulated and measured images. The SNR difference between simulated and measured was ≤ 8% for the 1.5T, 3T, and 7T cases which utilized scanners with the same geometry and from the same vendor. The measured SNR at 0.35T was 1.8- to 2.5-fold less than predicted likely due to unaccounted differences in the RF receive chain. The predicted minimum field strength requirements for the two sample applications were 0.2 T and 0.3 T, respectively. CONCLUSIONS: Under certain assumptions, low-field MRI acquisitions can be simulated from high-field MRI data. This enables prediction of the minimum field strength requirements for a broad range of MRI techniques. Public Library of Science 2016-05-02 /pmc/articles/PMC4852924/ /pubmed/27136334 http://dx.doi.org/10.1371/journal.pone.0154711 Text en © 2016 Wu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Wu, Ziyue Chen, Weiyi Nayak, Krishna S. Minimum Field Strength Simulator for Proton Density Weighted MRI |
title | Minimum Field Strength Simulator for Proton Density Weighted MRI |
title_full | Minimum Field Strength Simulator for Proton Density Weighted MRI |
title_fullStr | Minimum Field Strength Simulator for Proton Density Weighted MRI |
title_full_unstemmed | Minimum Field Strength Simulator for Proton Density Weighted MRI |
title_short | Minimum Field Strength Simulator for Proton Density Weighted MRI |
title_sort | minimum field strength simulator for proton density weighted mri |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852924/ https://www.ncbi.nlm.nih.gov/pubmed/27136334 http://dx.doi.org/10.1371/journal.pone.0154711 |
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