Literature DB >> 29083101

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

Kathryn E Keenan1, Maureen Ainslie2, Alex J Barker3, Michael A Boss1, Kim M Cecil4, Cecil Charles2, Thomas L Chenevert5, Larry Clarke6, Jeffrey L Evelhoch7, Paul Finn8, Daniel Gembris9, Jeffrey L Gunter10, Derek L G Hill11, Clifford R Jack10, Edward F Jackson12, Guoying Liu6, Stephen E Russek1, Samir D Sharma12, Michael Steckner13, Karl F Stupic1, Joshua D Trzasko10, Chun Yuan14, Jie Zheng15.   

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.
© 2017 International Society for Magnetic Resonance in Medicine. © 2017 International Society for Magnetic Resonance in Medicine.

Keywords:  phantom; quality assurance; quantitative; system consistency

Mesh:

Substances:

Year:  2017        PMID: 29083101     DOI: 10.1002/mrm.26982

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  36 in total

1.  Flexible and efficient optimization of quantitative sequences using automatic differentiation of Bloch simulations.

Authors:  Philip K Lee; Lauren E Watkins; Timothy I Anderson; Guido Buonincontri; Brian A Hargreaves
Journal:  Magn Reson Med       Date:  2019-05-26       Impact factor: 4.668

2.  ADC measurements on the Unity MR-linac - A recommendation on behalf of the Elekta Unity MR-linac consortium.

Authors:  Ernst S Kooreman; Petra J van Houdt; Rick Keesman; Floris J Pos; Vivian W J van Pelt; Marlies E Nowee; Andreas Wetscherek; Rob H N Tijssen; Marielle E P Philippens; Daniela Thorwarth; Jihong Wang; Amita Shukla-Dave; William A Hall; Eric S Paulson; Uulke A van der Heide
Journal:  Radiother Oncol       Date:  2020-10-02       Impact factor: 6.280

3.  Bone material analogues for PET/MRI phantoms.

Authors:  Dharshan Chandramohan; Peng Cao; Misung Han; Hongyu An; John J Sunderland; Paul E Kinahan; Richard Laforest; Thomas A Hope; Peder E Z Larson
Journal:  Med Phys       Date:  2020-03-13       Impact factor: 4.071

Review 4.  Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook.

Authors:  Els Fieremans; Hong-Hsi Lee
Journal:  Neuroimage       Date:  2018-06-18       Impact factor: 6.556

5.  Multisite reliability and repeatability of an advanced brain MRI protocol.

Authors:  Daniel L Schwartz; Ian Tagge; Katherine Powers; Sinyeob Ahn; Rohit Bakshi; Peter A Calabresi; R Todd Constable; John Grinstead; Roland G Henry; Govind Nair; Nico Papinutto; Daniel Pelletier; Russell Shinohara; Jiwon Oh; Daniel S Reich; Nancy L Sicotte; William D Rooney
Journal:  J Magn Reson Imaging       Date:  2019-01-16       Impact factor: 4.813

Review 6.  Anthropomorphic brain phantoms for use in MRI systems: a systematic review.

Authors:  Noelle Crasto; Abirami Kirubarajan; Dafna Sussman
Journal:  MAGMA       Date:  2021-08-31       Impact factor: 2.310

7.  Improving apparent diffusion coefficient accuracy on a compact 3T MRI scanner using gradient nonlinearity correction.

Authors:  Ashley T Tao; Yunhong Shu; Ek T Tan; Joshua D Trzasko; Shengzhen Tao; Robert D Reid; Paul T Weavers; John Huston; Matt A Bernstein
Journal:  J Magn Reson Imaging       Date:  2018-09-26       Impact factor: 4.813

8.  Influence of water based embedding media composition on the relaxation properties of fixed tissue.

Authors:  Ivan Vučković; Tarek Nayfeh; Prasanna K Mishra; Sigapriya Periyanan; Caroline R Sussman; Timothy L Kline; Slobodan Macura
Journal:  Magn Reson Imaging       Date:  2019-12-07       Impact factor: 2.546

9.  Realistic head-shaped phantom with brain-mimicking metabolites for 7 T spectroscopy and spectroscopic imaging.

Authors:  Ghil Jona; Edna Furman-Haran; Rita Schmidt
Journal:  NMR Biomed       Date:  2020-10-04       Impact factor: 4.044

Review 10.  Physics-based reconstruction methods for magnetic resonance imaging.

Authors:  Xiaoqing Wang; Zhengguo Tan; Nick Scholand; Volkert Roeloffs; Martin Uecker
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2021-05-10       Impact factor: 4.226

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