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MULTI-parametric MR imaging with fLEXible design (MULTIPLEX)

delete2021-08-31
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PRE
AI
Y
Yongquan Ye *
J
Jingyuan Lyu
胡亦辰 封面图
胡亦辰 (Yichen Hu)
Z
Zhongqi Zhang
J
Jian Xu
W
Weiguo Zhang
DOI:10.1002/mrm.28999delete
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摘要

摘要

En 中文
Purpose To introduce a gradient echo (GRE) -based method, namely MULTIPLEX, for single-scan 3D multi-parametric MRI with high resolution, signal-to-noise ratio (SNR), accuracy, efficiency, and acquisition flexibility. Theory With a comprehensive design with dual-repetition time (TR), dual flip angle (FA), multi-echo, and optional flow modulation features, the MULTIPLEX signals contain information on radiofrequency (RF) B-1t fields, proton density, T-1, susceptibility and blood flows, facilitating multiple qualitative images and parametric maps. Methods MULTIPLEX was evaluated on system phantom and human brains, via visual inspection for image contrasts and quality or quantitative evaluation via simulation, phantom scans and literature comparison. Region-of-interest (ROI) analysis was performed on parametric maps of the system phantom and brain scans, extracting the mean and SD of the T-1, T2*, proton density (PD), and/or quantitative susceptibility mapping (QSM) values for comparison with reference values or literature. Results One MULTIPLEX scan offers multiple sets of images, including but not limited to: composited PDW/T1W/T2*W, aT(1)W, SWI, MRA (optional), B-1t map, T-1 map, T2*/R2* maps, PD map, and QSM. The quantitative error of phantom T-1, T2* and PD mapping were <5%, and those in brain scans were in good agreement with literature. MULTIPLEX scan times for high resolution (0.68 x 0.68 x 2 mm(3)) whole brain coverage were about 7.5 min, while processing times were <1 min. With flow modulation, additional MRA images can be obtained without affecting the quality or accuracy of other images. Conclusion The proposed MUTLIPLEX method possesses great potential for multi-parametric MR imaging.
Keyword:
AFI
aT1W
GRE
MDI
multi-parametric
qMRI
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Magnetic Resonance in Medicine 封面图
Magnetic Resonance in Medicine
IF:
3
论文数:
1.2W
被引数:
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