Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom

Kathryn E. Keenan, Maureen Ainslie, Alex J. Barker, Michael A. Boss, Kim M. Cecil, Cecil Charles, Thomas L. Chenevert, Larry Clarke, Jeffrey L. Evelhoch, Paul Finn, Daniel Gembris, Jeffrey L. Gunter, Derek L.G. Hill, Clifford R. Jack, Edward F. Jackson, Guoying Liu, Stephen E. Russek, Samir D. Sharma, Michael Steckner, Karl F. StupicJoshua D. Trzasko, Chun Yuan, Jie Zheng

Research output: Contribution to journalReview articlepeer-review

55 Scopus citations

Abstract

The MRI community is using quantitative mapping techniques to complement qualitative imaging. For quantitative imaging to reach its full potential, it is necessary to analyze measurements across systems and longitudinally. Clinical use of quantitative imaging can be facilitated through adoption and use of a standard system phantom, a calibration/standard reference object, to assess the performance of an MRI machine. The International Society of Magnetic Resonance in Medicine AdHoc Committee on Standards for Quantitative Magnetic Resonance was established in February 2007 to facilitate the expansion of MRI as a mainstream modality for multi-institutional measurements, including, among other things, multicenter trials. The goal of the Standards for Quantitative Magnetic Resonance committee was to provide a framework to ensure that quantitative measures derived from MR data are comparable over time, between subjects, between sites, and between vendors. This paper, written by members of the Standards for Quantitative Magnetic Resonance committee, reviews standardization attempts and then details the need, requirements, and implementation plan for a standard system phantom for quantitative MRI. In addition, application-specific phantoms and implementation of quantitative MRI are reviewed. Magn Reson Med 79:48–61, 2018.

Original languageEnglish (US)
Pages (from-to)48-61
Number of pages14
JournalMagnetic Resonance in Medicine
Volume79
Issue number1
DOIs
StatePublished - Jan 2018

Keywords

  • phantom
  • quality assurance
  • quantitative
  • system consistency

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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