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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...

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Detalles Bibliográficos
Autores principales: Wu, Ziyue, Chen, Weiyi, Nayak, Krishna S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
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.
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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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