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Magnetic Resonance in Medicine
Article . 2021 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Magnetic Resonance in Medicine
Article
License: CC BY
Data sources: UnpayWall
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PubMed Central
Article . 2021
License: CC BY
Data sources: PubMed Central
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A standard system phantom for magnetic resonance imaging

Authors: Karl F. Stupic; Maureen Ainslie; Michael A. Boss; Cecil Charles; Andrew M. Dienstfrey; Jeffrey L. Evelhoch; Paul Finn; +13 Authors

A standard system phantom for magnetic resonance imaging

Abstract

PurposeA standard MRI system phantom has been designed and fabricated to assess scanner performance, stability, comparability and assess the accuracy of quantitative relaxation time imaging. The phantom is unique in having traceability to the International System of Units, a high level of precision, and monitoring by a national metrology institute. Here, we describe the phantom design, construction, imaging protocols, and measurement of geometric distortion, resolution, slice profile, signal‐to‐noise ratio (SNR), proton‐spin relaxation times, image uniformity and proton density.MethodsThe system phantom, designed by the International Society of Magnetic Resonance in Medicine ad hoc committee on Standards for Quantitative MR, is a 200 mm spherical structure that contains a 57‐element fiducial array; two relaxation time arrays; a proton density/SNR array; resolution and slice‐profile insets. Standard imaging protocols are presented, which provide rapid assessment of geometric distortion, image uniformity, T1 and T2 mapping, image resolution, slice profile, and SNR.ResultsFiducial array analysis gives assessment of intrinsic geometric distortions, which can vary considerably between scanners and correction techniques. This analysis also measures scanner/coil image uniformity, spatial calibration accuracy, and local volume distortion. An advanced resolution analysis gives both scanner and protocol contributions. SNR analysis gives both temporal and spatial contributions.ConclusionsA standard system phantom is useful for characterization of scanner performance, monitoring a scanner over time, and to compare different scanners. This type of calibration structure is useful for quality assurance, benchmarking quantitative MRI protocols, and to transition MRI from a qualitative imaging technique to a precise metrology with documented accuracy and uncertainty.

Country
United Kingdom
Keywords

Magnetic Resonance Spectroscopy, Phantoms, Imaging, Image Processing, Computer-Assisted, Guidelines—Imaging Methodology, phantom, quality assurance, MRI standards, Signal-To-Noise Ratio, quantitative MRI, Magnetic Resonance Imaging

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
123
Top 1%
Top 10%
Top 1%
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