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 B0 field strength requirements for MRI techniques. This framework would be particularly useful in the evaluatio...

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Main Authors: Ziyue Wu, Weiyi Chen, Krishna S Nayak
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4852924?pdf=render
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spelling doaj-0c59bf636ca14fe391f877c77dbdeba72020-11-24T22:11:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01115e015471110.1371/journal.pone.0154711Minimum Field Strength Simulator for Proton Density Weighted MRI.Ziyue WuWeiyi ChenKrishna S NayakOBJECTIVE: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 B0 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.http://europepmc.org/articles/PMC4852924?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ziyue Wu
Weiyi Chen
Krishna S Nayak
spellingShingle Ziyue Wu
Weiyi Chen
Krishna S Nayak
Minimum Field Strength Simulator for Proton Density Weighted MRI.
PLoS ONE
author_facet Ziyue Wu
Weiyi Chen
Krishna S Nayak
author_sort Ziyue Wu
title Minimum Field Strength Simulator for Proton Density Weighted MRI.
title_short 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_sort minimum field strength simulator for proton density weighted mri.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
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 B0 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.
url http://europepmc.org/articles/PMC4852924?pdf=render
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AT weiyichen minimumfieldstrengthsimulatorforprotondensityweightedmri
AT krishnasnayak minimumfieldstrengthsimulatorforprotondensityweightedmri
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