Magnetic resonance fingerprinting with quadratic RF phase for measurement of T2* simultaneously with δf , T1 , and T2

Magn Reson Med. 2019 Mar;81(3):1849-1862. doi: 10.1002/mrm.27543. Epub 2018 Oct 30.

Abstract

Purpose: This study explores the possibility of using a gradient moment balanced sequence with a quadratically varied RF excitation phase in the magnetic resonance fingerprinting (MRF) framework to quantify T2* in addition to δf , T1 , and T2 tissue properties.

Methods: The proposed quadratic RF phase-based MRF method (qRF-MRF) combined a varied RF excitation phase with the existing balanced SSFP (bSSFP)-based MRF method to generate signals that were uniquely sensitive to δf , T1 , T2 , as well as the distribution width of intravoxel frequency dispersion, Γ . A dictionary, generated through Bloch simulation, containing possible signal evolutions within the physiological range of δf , T1 , T2 , and Γ , was used to perform parameter estimation. The estimated T2 and Γ were subsequently used to estimate T2* . The proposed method was evaluated in phantom experiments and healthy volunteers (N = 5).

Results: The T1 and T2 values from the phantom by qRF-MRF demonstrated good agreement with values obtained by traditional gold standard methods (r2 = 0.995 and 0.997, respectively; concordance correlation coefficient = 0.978 and 0.995, respectively). The T2* values from the phantom demonstrated good agreement with values obtained through the multi-echo gradient-echo method (r2 = 0.972, concordance correlation coefficient = 0.983). In vivo qRF-MRF-measured T1 , T2 , and T2* values were compared with measurements by existing methods and literature values.

Conclusion: The proposed qRF-MRF method demonstrated the potential for simultaneous quantification of δf , T1 , T2 , and T2* tissue properties.

Keywords: T2*; magnetic resonance fingerprinting; multiparametric mapping; quantitative MRI.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Artifacts
  • Brain / diagnostic imaging*
  • Healthy Volunteers
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods
  • Image Processing, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Pattern Recognition, Automated
  • Phantoms, Imaging
  • Radio Waves*
  • Reproducibility of Results
  • Signal-To-Noise Ratio

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