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Motion-resolved and free-breathing liver MRF.

Publication ,  Journal Article
Cao, P; Wang, Z; Liu, C; Li, T; Hui, ES; Cai, J
Published in: Magn Reson Imaging
September 2022

PURPOSE: To develop a motion-resolved and free-breathing liver magnetic resonance fingerprinting (MRF) protocol. METHODS: The deformation maps were obtained from the first singular image of MRF data. The reconstruction method enforced the consistency of the MRF data with the deformation maps by adding the deformation maps to the encoding matrix. A sliding window reconstruction was inherently assumed, with a window size of 60 repetition times (TRs) and a step size of 30 TRs. L1 wavelet regularization was applied to reduce the undersampling artifact. MRF was tested on four healthy volunteers with parameters: 13 s/slice, 0.39 s/frame, and 33 time frames/slice. RESULTS: For measuring the accuracy of the deformation map, the typical normalized root mean square error (NRMSE) of the first singular image after motion correction was 0.19. In the sagittal scan, the liver T1 and T2 were 808.7±96.8 ms and 52.7±11.6 ms, respectively. They agreed with our previously reported values, i.e., T1 = 759 ms and T2 = 51 ms at 3 T, using free-breathing liver MRF. Compared to breath-hold MRF, the NRMSEs for T1 and T2 maps (without considering vessel pixels) from the proposed method were 0.13 and 0.18, respectively. CONCLUSION: We demonstrated a motion-resolved MRF with a nominal frame rate of 2.5 Hz for free-breathing liver imaging.

Duke Scholars

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

September 2022

Volume

91

Start / End Page

69 / 80

Location

Netherlands

Related Subject Headings

  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Motion
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Liver
  • Image Processing, Computer-Assisted
  • Humans
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Cao, P., Wang, Z., Liu, C., Li, T., Hui, E. S., & Cai, J. (2022). Motion-resolved and free-breathing liver MRF. Magn Reson Imaging, 91, 69–80. https://doi.org/10.1016/j.mri.2022.05.015
Cao, Peng, Zuojun Wang, Chenyang Liu, Tian Li, Edward S. Hui, and Jing Cai. “Motion-resolved and free-breathing liver MRF.Magn Reson Imaging 91 (September 2022): 69–80. https://doi.org/10.1016/j.mri.2022.05.015.
Cao P, Wang Z, Liu C, Li T, Hui ES, Cai J. Motion-resolved and free-breathing liver MRF. Magn Reson Imaging. 2022 Sep;91:69–80.
Cao, Peng, et al. “Motion-resolved and free-breathing liver MRF.Magn Reson Imaging, vol. 91, Sept. 2022, pp. 69–80. Pubmed, doi:10.1016/j.mri.2022.05.015.
Cao P, Wang Z, Liu C, Li T, Hui ES, Cai J. Motion-resolved and free-breathing liver MRF. Magn Reson Imaging. 2022 Sep;91:69–80.
Journal cover image

Published In

Magn Reson Imaging

DOI

EISSN

1873-5894

Publication Date

September 2022

Volume

91

Start / End Page

69 / 80

Location

Netherlands

Related Subject Headings

  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Motion
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Liver
  • Image Processing, Computer-Assisted
  • Humans
  • 3202 Clinical sciences
  • 1702 Cognitive Sciences