Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom
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- Kathryn E. Keenan
- National Institute of Standards and Technology Boulder Colorado USA
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- Maureen Ainslie
- Duke University Durham North Carolina USA
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- Alex J. Barker
- Northwestern University Evanston Illinois USA
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- Michael A. Boss
- National Institute of Standards and Technology Boulder Colorado USA
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- Kim M. Cecil
- Cincinnati Children's Hospital Medical Center Cincinnati Ohio USA
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- Cecil Charles
- Duke University Durham North Carolina USA
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- Thomas L. Chenevert
- University of Michigan Ann Arbor Michigan USA
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- Larry Clarke
- National Institutes of Health Bethesda Maryland USA
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- Jeffrey L. Evelhoch
- Merck Research Laboratories West Point Pennsylvania USA
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- Paul Finn
- University of California Los Angeles California USA
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- Daniel Gembris
- University of Cooperative Education Dresden Dresden Germany
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- Jeffrey L. Gunter
- Mayo Clinic Rochester Minnesota USA
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- Derek L.G. Hill
- King's College London United Kingdom
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- Clifford R. Jack
- Mayo Clinic Rochester Minnesota USA
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- Edward F. Jackson
- University of Wisconsin Madison Wisconsin USA
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- Guoying Liu
- National Institutes of Health Bethesda Maryland USA
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- Stephen E. Russek
- National Institute of Standards and Technology Boulder Colorado USA
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- Samir D. Sharma
- University of Wisconsin Madison Wisconsin USA
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- Michael Steckner
- Toshiba Medical Research Institute Mayfield Village Ohio USA
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- Karl F. Stupic
- National Institute of Standards and Technology Boulder Colorado USA
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- Joshua D. Trzasko
- Mayo Clinic Rochester Minnesota USA
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- Chun Yuan
- University of Washington Seattle Washington USA
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- Jie Zheng
- Washington University in St. Louis St. Louis Missouri USA
書誌事項
- 公開日
- 2017-10-30
- 権利情報
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- http://onlinelibrary.wiley.com/termsAndConditions#vor
- DOI
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- 10.1002/mrm.26982
- 公開者
- Wiley
この論文をさがす
説明
<jats:p>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. <jats:bold>Magn Reson Med 79:48–61, 2018. © 2017 International Society for Magnetic Resonance in Medicine.</jats:bold></jats:p>
収録刊行物
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- Magnetic Resonance in Medicine
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Magnetic Resonance in Medicine 79 (1), 48-61, 2017-10-30
Wiley
- Tweet
キーワード
- Brain Mapping
- Phantoms, Imaging
- system consistency
- Contrast Media
- Reproducibility of Results
- quality assurance
- phantom
- Models, Theoretical
- Signal-To-Noise Ratio
- Magnetic Resonance Imaging
- Elasticity
- Perfusion
- quantitative
- Reference Values
- Health Sciences
- Calibration
- Image Processing, Computer-Assisted
- Linear Models
- Humans
- Algorithms
- Biomarkers
詳細情報 詳細情報について
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- CRID
- 1362825894233314560
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- ISSN
- 15222594
- 07403194
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- HANDLE
- 2027.42/141340
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- PubMed
- 29083101
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- データソース種別
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- Crossref
- OpenAIRE