Skip to main content
Journal cover image

Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting.

Publication ,  Journal Article
Li, T; Cui, D; Ren, G; Hui, ES; Cai, J
Published in: Phys Med Biol
April 28, 2021

Purpose.This study aims to investigate the feasibility of different acquisition methods for time-resolved magnetic resonance fingerprinting (TR-MRF) in computer simulation.Methods.An extended cardiac-torso (XCAT) phantom is used to generate abdominal T1, T2, and proton density maps for MRF simulation. The simulated MRF technique consists of an IR-FISP MRF sequence with spiral trajectory acquisition. MRF maps were simulated with different numbers of repetitions from 1 to 15. Three different methods were used to generate TR-MRF maps: (1) continuous acquisition without delay between MRF repetitions; (2) continuous acquisition with 5 s delay between MRF repetitions; (3) triggered acquisition with variable delay between MRF repetitions to allow the next acquisition to start at different respiration phase. After the generation of TR-MRF maps, the image quality indexes including the absolute T1 and T2 values, signal-to-noise-ratio (SNR), tumor-to-liver contrast-to-noise ratio, error in the amplitude of diaphragm motion and tumor volume error were used to evaluate the reconstructed parameter maps. Three volunteers were recruited to test the feasibility of the selected acquisition method.Results.Dynamic MR parametric maps using three different acquisition methods were estimated. The overall and liver T1 value error, liver SNR in T1 and T2 maps, and tumor SNR from T1 maps from triggered method is statistically significantly better than the other two methods (p-value < 0.05). The other image quality indexes have no significant difference between the triggered method and the other two continuous acquisition methods. All image quality indexes exhibit no significant difference between the acquisition methods with 0 s and 5 s delay. The triggered method was successfully performed in three healthy volunteers.Conclusion.TR-MRF technique was investigated using three different acquisition methods in computer simulation where the triggered method showed better performance than the other two methods. The triggered method has been tested successfully in healthy volunteers.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

April 28, 2021

Volume

66

Issue

9

Location

England

Related Subject Headings

  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Humans
  • Computer Simulation
  • Brain
  • Algorithms
  • 5105 Medical and biological physics
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Li, T., Cui, D., Ren, G., Hui, E. S., & Cai, J. (2021). Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting. Phys Med Biol, 66(9). https://doi.org/10.1088/1361-6560/abf51f
Li, Tian, Di Cui, Ge Ren, Edward S. Hui, and Jing Cai. “Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting.Phys Med Biol 66, no. 9 (April 28, 2021). https://doi.org/10.1088/1361-6560/abf51f.
Li T, Cui D, Ren G, Hui ES, Cai J. Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting. Phys Med Biol. 2021 Apr 28;66(9).
Li, Tian, et al. “Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting.Phys Med Biol, vol. 66, no. 9, Apr. 2021. Pubmed, doi:10.1088/1361-6560/abf51f.
Li T, Cui D, Ren G, Hui ES, Cai J. Investigation of the effect of acquisition schemes on time-resolved magnetic resonance fingerprinting. Phys Med Biol. 2021 Apr 28;66(9).
Journal cover image

Published In

Phys Med Biol

DOI

EISSN

1361-6560

Publication Date

April 28, 2021

Volume

66

Issue

9

Location

England

Related Subject Headings

  • Phantoms, Imaging
  • Nuclear Medicine & Medical Imaging
  • Magnetic Resonance Spectroscopy
  • Magnetic Resonance Imaging
  • Humans
  • Computer Simulation
  • Brain
  • Algorithms
  • 5105 Medical and biological physics
  • 1103 Clinical Sciences