Quantitative magnetic resonance imaging phantoms: A review and the need for a system phantom-Reference-Cited by-同舟云学术

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

Published:2017-10-30 Issue:1 Volume:79 Page:48-61
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med

Author:

Keenan Kathryn E.¹,Ainslie Maureen²,Barker Alex J.³^ORCID,Boss Michael A.¹^ORCID,Cecil Kim M.⁴,Charles Cecil²,Chenevert Thomas L.⁵,Clarke Larry⁶,Evelhoch Jeffrey L.⁷,Finn Paul⁸,Gembris Daniel⁹,Gunter Jeffrey L.¹⁰,Hill Derek L.G.¹¹,Jack Clifford R.¹⁰,Jackson Edward F.¹²,Liu Guoying⁶,Russek Stephen E.¹,Sharma Samir D.¹²,Steckner Michael¹³,Stupic Karl F.¹,Trzasko Joshua D.¹⁰,Yuan Chun¹⁴,Zheng Jie¹⁵

Affiliation:

1. National Institute of Standards and Technology Boulder; Colorado USA

2. Duke University; Durham North Carolina USA

3. Northwestern University; Evanston Illinois USA

4. Cincinnati Children's Hospital Medical Center; Cincinnati Ohio USA

5. University of Michigan; Ann Arbor Michigan USA

6. National Institutes of Health; Bethesda Maryland USA

7. Merck Research Laboratories; West Point Pennsylvania USA

8. University of California; Los Angeles California USA

9. University of Cooperative Education Dresden; Dresden Germany

10. Mayo Clinic; Rochester Minnesota USA

11. King's College; London United Kingdom

12. University of Wisconsin; Madison Wisconsin USA

13. Toshiba Medical Research Institute; Mayfield Village Ohio USA

14. University of Washington; Seattle Washington USA

15. Washington University in St. Louis; St. Louis Missouri USA

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.26982/fullpdf

Reference128 articles.

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2. The emerging science of quantitative imaging biomarkers terminology and definitions for scientific studies and regulatory submissions;Kessler;Stat Methods Med Res,2015

3. Quantitative imaging biomarkers: a review of statistical methods for technical performance assessment;Raunig;Stat Methods Med Res,2015

4. MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival;Partridge;AJR Am J Roentgenol,2005

5. Monitoring brain tumor response to therapy using MRI segmentation;Vaidyanathan;Magn Reson Imaging,1997

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