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Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting.

Publication ,  Journal Article
Hamilton, JI; Jiang, Y; Ma, D; Lo, W-C; Gulani, V; Griswold, M; Seiberlich, N
Published in: Magn Reson Imaging
November 2018

This study aims to improve the accuracy and consistency of T1 and T2 measurements using cardiac MR Fingerprinting (cMRF) by investigating and accounting for the effects of confounding factors including slice profile, inversion and T2 preparation pulse efficiency, and B1+. The goal is to understand how measurements with different pulse sequences are affected by these factors. This can be used to determine which factors must be taken into account for accurate measurements, and which may be mitigated by the selection of an appropriate pulse sequence. Simulations were performed using a numerical cardiac phantom to assess the accuracy of over 600 cMRF sequences with different flip angles, TRs, and preparation pulses. A subset of sequences, including one with the lowest errors in T1 and T2 maps, was used in subsequent analyses. Errors due to non-ideal slice profile, preparation pulse efficiency, and B1+ were quantified in Bloch simulations. Corrections for these effects were included in the dictionary generation and demonstrated in phantom and in vivo cardiac imaging at 3 T. Neglecting to model slice profile and preparation pulse efficiency led to underestimated T1 and overestimated T2 for most cMRF sequences. Sequences with smaller maximum flip angles were less affected by slice profile and B1+. Simulating all corrections in the dictionary improved the accuracy of T1 and T2 phantom measurements, regardless of acquisition pattern. More consistent myocardial T1 and T2 values were measured using different sequences after corrections. Based on these results, a pulse sequence which is minimally affected by confounding factors can be selected, and the appropriate residual corrections included for robust T1 and T2 mapping.

Duke Scholars

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

November 2018

Volume

53

Start / End Page

40 / 51

Location

Netherlands

Related Subject Headings

  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Myocardium
  • Models, Theoretical
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
  • Heart Rate
  • Heart
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Hamilton, J. I., Jiang, Y., Ma, D., Lo, W.-C., Gulani, V., Griswold, M., & Seiberlich, N. (2018). Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting. Magn Reson Imaging, 53, 40–51. https://doi.org/10.1016/j.mri.2018.06.018
Hamilton, Jesse I., Yun Jiang, Dan Ma, Wei-Ching Lo, Vikas Gulani, Mark Griswold, and Nicole Seiberlich. “Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting.Magn Reson Imaging 53 (November 2018): 40–51. https://doi.org/10.1016/j.mri.2018.06.018.
Hamilton JI, Jiang Y, Ma D, Lo W-C, Gulani V, Griswold M, et al. Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting. Magn Reson Imaging. 2018 Nov;53:40–51.
Hamilton, Jesse I., et al. “Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting.Magn Reson Imaging, vol. 53, Nov. 2018, pp. 40–51. Pubmed, doi:10.1016/j.mri.2018.06.018.
Hamilton JI, Jiang Y, Ma D, Lo W-C, Gulani V, Griswold M, Seiberlich N. Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting. Magn Reson Imaging. 2018 Nov;53:40–51.
Journal cover image

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

November 2018

Volume

53

Start / End Page

40 / 51

Location

Netherlands

Related Subject Headings

  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Myocardium
  • Models, Theoretical
  • Magnetic Resonance Imaging
  • Imaging, Three-Dimensional
  • Image Processing, Computer-Assisted
  • Humans
  • Heart Rate
  • Heart