A Perspective on MR Fingerprinting

This article reviews the basic concept of MR fingerprinting (MRF) with the goal of highlighting MRF's key contributions, putting them in the context of other quantitative MRI literature, and refining MRF's terminology. The article discusses the robustness and flexibility of MRF's signature dictionary-matching reconstruction along with more advanced MRF reconstructions. A key feature of MRF is the lack of assumptions about the signal evolution, which gives scientists the flexibility to tailor sequences for their needs. The article argues that the concept of unique fingerprints does not capture the requirements for successful parameter mapping and that an analysis of the signal's derivatives with respect to biophysical parameters, such as relaxation times, is more informative, as it allows one to evaluate the efficiency of a pulse sequence. The article points at the source of MRF's efficiency, namely, flip angle variations at the time scale of the relaxation times, and reveals that MRF's advantages are strongest at long scan times, as required for 3D imaging. Further, it outlines how MRF's flexibility can be used to design mutually tailored pulse sequences and biophysical models with the goal of improving the reproducibility of parameter mapping biological tissue. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY STAGE: 1.

[1]  M. L. Wood,et al.  Spoiling of transverse magnetization in steady‐state sequences , 1991, Magnetic resonance in medicine.

[2]  Mariya Doneva,et al.  Compressed sensing reconstruction for magnetic resonance parameter mapping , 2010, Magnetic resonance in medicine.

[3]  R M Henkelman,et al.  Quantitative interpretation of magnetization transfer , 1993, Magnetic resonance in medicine.

[4]  Vikas Gulani,et al.  Magnetic Resonance Fingerprinting-An Overview. , 2017, Current opinion in biomedical engineering.

[5]  D. Sodickson,et al.  Hybrid-state free precession in nuclear magnetic resonance , 2018, Communications Physics.

[6]  Jens Frahm,et al.  Model-Based Iterative Reconstruction for Radial Fast Spin-Echo MRI , 2009, IEEE Transactions on Medical Imaging.

[7]  E. Haacke,et al.  Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime , 1994, Magnetic resonance in medicine.

[8]  Yuta Kobayashi,et al.  Diffusion-weighting Caused by Spoiler Gradients in the Fast Imaging with Steady-state Precession Sequence May Lead to Inaccurate T2 Measurements in MR Fingerprinting , 2018, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[9]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[10]  Yun Jiang,et al.  Magnetic resonance fingerprinting: a technical review , 2018, Magnetic resonance in medicine.

[11]  Nicole Seiberlich,et al.  Cardiac MR fingerprinting for T1 and T2 mapping in four heartbeats , 2016, Journal of Cardiovascular Magnetic Resonance.

[12]  Justin P. Haldar,et al.  Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics , 2017, IEEE Transactions on Medical Imaging.

[13]  F. Knoll,et al.  Multiparametric imaging with heterogeneous radiofrequency fields , 2016, Nature Communications.

[14]  Christine L. Tardif,et al.  On the accuracy of T1 mapping: Searching for common ground , 2015, Magnetic resonance in medicine.

[15]  Pierre Vandergheynst,et al.  A Compressed Sensing Framework for Magnetic Resonance Fingerprinting , 2013, SIAM J. Imaging Sci..

[16]  D. Look,et al.  Time Saving in Measurement of NMR and EPR Relaxation Times , 1970 .

[17]  Jesse I. Hamilton,et al.  MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density , 2017, Magnetic resonance in medicine.

[18]  Karla L. Miller,et al.  Modeling SSFP functional MRI contrast in the brain , 2008, Magnetic resonance in medicine.

[19]  D. Donoho,et al.  Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.

[20]  Yun Jiang,et al.  Improved magnetic resonance fingerprinting reconstruction with low‐rank and subspace modeling , 2018, Magnetic resonance in medicine.

[21]  Hanzhang Lu,et al.  Multiparametric estimation of brain hemodynamics with MR fingerprinting ASL , 2017, Magnetic resonance in medicine.

[22]  Shaihan J. Malik,et al.  Fast quantitative MRI using controlled saturation magnetization transfer , 2018, Magnetic resonance in medicine.

[23]  Yong Chen,et al.  Multiscale reconstruction for MR fingerprinting , 2016, Magnetic resonance in medicine.

[24]  J. Hennig,et al.  Intrinsic diffusion sensitivity of the balanced steady‐state free precession (bSSFP) imaging sequence , 2015, NMR in biomedicine.

[25]  M. Ladd,et al.  Flow MR fingerprinting , 2018, Magnetic resonance in medicine.

[26]  D. Sodickson,et al.  Optimized quantification of spin relaxation times in the hybrid state , 2017, Magnetic resonance in medicine.

[27]  C. R. Rao,et al.  Information and the Accuracy Attainable in the Estimation of Statistical Parameters , 1992 .

[28]  S. Riederer,et al.  Optimizing the precision in T1 relaxation estimation using limited flip angles , 1987, Magnetic resonance in medicine.

[29]  S. Meiboom,et al.  Modified Spin‐Echo Method for Measuring Nuclear Relaxation Times , 1958 .

[30]  J. Pauly,et al.  Accelerating parameter mapping with a locally low rank constraint , 2015, Magnetic resonance in medicine.

[31]  J. Hennig,et al.  Pseudo Steady‐State Free Precession for MR‐Fingerprinting , 2017, Magnetic resonance in medicine.

[32]  H. Carr STEADY-STATE FREE PRECESSION IN NUCLEAR MAGNETIC RESONANCE , 1958 .

[33]  M. Griswold,et al.  MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout , 2015, Magnetic resonance in medicine.

[34]  S. Posse,et al.  Analytical model of susceptibility‐induced MR signal dephasing: Effect of diffusion in a microvascular network , 1999, Magnetic resonance in medicine.

[35]  James C Moon,et al.  Reproducibility of native T1 mapping using ShMOLLI and MOLLI - implications for sample size calculation , 2016, Journal of Cardiovascular Magnetic Resonance.

[36]  H K Song,et al.  k‐Space weighted image contrast (KWIC) for contrast manipulation in projection reconstruction MRI , 2000, Magnetic resonance in medicine.

[37]  Bo Zhao,et al.  Model-based iterative reconstruction for magnetic resonance fingerprinting , 2015, 2015 IEEE International Conference on Image Processing (ICIP).

[38]  F. Knoll,et al.  Low rank alternating direction method of multipliers reconstruction for MR fingerprinting , 2016, Magnetic resonance in medicine.

[39]  John Homer,et al.  Driven-equilibrium single-pulse observation of T1 relaxation. A reevaluation of a rapid “new” method for determining NMR spin-lattice relaxation times , 1985 .

[40]  E. Purcell,et al.  Relaxation Effects in Nuclear Magnetic Resonance Absorption , 1948 .

[41]  R. Henkelman,et al.  Magnetization transfer in MRI: a review , 2001, NMR in biomedicine.

[42]  M. Griswold,et al.  IR TrueFISP with a golden‐ratio‐based radial readout: Fast quantification of T1, T2, and proton density , 2013, Magnetic resonance in medicine.

[43]  J. Duerk,et al.  Magnetic Resonance Fingerprinting , 2013, Nature.

[44]  Peter R Luijten,et al.  Fast quantitative MRI as a nonlinear tomography problem. , 2017, Magnetic resonance imaging.

[45]  Stephen J Sawiak,et al.  MR fingerprinting with simultaneous B1 estimation , 2015, Magnetic resonance in medicine.

[46]  E. Purcell,et al.  Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments , 1954 .

[47]  M. Griswold,et al.  Inversion recovery TrueFISP: Quantification of T1, T2, and spin density , 2004, Magnetic resonance in medicine.

[48]  Olaf Dössel,et al.  An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI , 2007, IEEE Transactions on Medical Imaging.

[49]  R. Balaban,et al.  Magnetization transfer contrast (MTC) and tissue water proton relaxation in vivo , 1989, Magnetic resonance in medicine.

[50]  B. Rutt,et al.  Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state , 2003, Magnetic resonance in medicine.

[51]  Vikas Gulani,et al.  Magnetic resonance fingerprinting Part 1: Potential uses, current challenges, and recommendations , 2020, Journal of magnetic resonance imaging : JMRI.

[52]  Alain Lalande,et al.  What are normal relaxation times of tissues at 3 T? , 2017, Magnetic resonance imaging.

[53]  Vikas Gulani,et al.  Magnetic resonance fingerprinting review part 2: Technique and directions , 2019, Journal of magnetic resonance imaging : JMRI.