MR fingerprinting using the quick echo splitting NMR imaging technique.
PURPOSE: The purpose of the study is to develop a quantitative method for the relaxation properties with a reduced radio frequency (RF) power deposition by combining magnetic resonance fingerprinting (MRF) technique with quick echo splitting NMR imaging technique (QUEST). METHODS: A QUEST-based MRF sequence was implemented to acquire high-order echoes by increasing the gaps between RF pulses. Bloch simulations were used to calculate a dictionary containing the range of physically plausible signal evolutions using a range of T1 and T2 values based on the pulse sequence. MRF-QUEST was evaluated by comparing to the results of spin-echo methods. The specific absorption rate (SAR) of MRF-QUEST was compared with the clinically available methods. RESULTS: MRF-QUEST quantifies the relaxation properties with good accuracy at the estimated head SAR of 0.03 W/kg. T1 and T2 values estimated by MRF-QUEST are in good agreement with the traditional methods. CONCLUSIONS: The combination of the MRF and the QUEST provides an accurate quantification of T1 and T2 simultaneously with reduced RF power deposition. The resulting lower SAR may provide a new acquisition strategy for MRF when RF energy deposition is problematic. Magn Reson Med 77:979-988, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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- Signal Processing, Computer-Assisted
- Sensitivity and Specificity
- Reproducibility of Results
- Phantoms, Imaging
- Nuclear Medicine & Medical Imaging
- Molecular Imaging
- Magnetic Resonance Spectroscopy
- Magnetic Resonance Imaging
- Image Interpretation, Computer-Assisted
- Image Enhancement
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Signal Processing, Computer-Assisted
- Sensitivity and Specificity
- Reproducibility of Results
- Phantoms, Imaging
- Nuclear Medicine & Medical Imaging
- Molecular Imaging
- Magnetic Resonance Spectroscopy
- Magnetic Resonance Imaging
- Image Interpretation, Computer-Assisted
- Image Enhancement