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Magnetic resonance fingerprinting Part 1: Potential uses, current challenges, and recommendations
Author(s) -
Poorman Megan E.,
Martin Michele N.,
Ma Dan,
McGivney Debra F.,
Gulani Vikas,
Griswold Mark A.,
Keenan Kathryn E.
Publication year - 2020
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.26836
Subject(s) - standardization , computer science , magnetic resonance imaging , implementation , reproducibility , medical physics , artificial intelligence , medicine , radiology , software engineering , mathematics , statistics , operating system
Magnetic resonance fingerprinting (MRF) is a powerful quantitative MRI technique capable of acquiring multiple property maps simultaneously in a short timeframe. The MRF framework has been adapted to a wide variety of clinical applications, but faces challenges in technical development, and to date has only demonstrated repeatability and reproducibility in small studies. In this review, we discuss the current implementations of MRF and their use in a clinical setting. Based on this analysis, we highlight areas of need that must be addressed before MRF can be fully adopted into the clinic and make recommendations to the MRF community on standardization and validation strategies of MRF techniques. Level of Evidence: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:675–692.