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利用背景梯度补偿的磁共振指纹技术同时估计 PD、T1、T2、T2* 和 ∆B。

Simultaneous estimation of PD, T , T , T , and ∆B using magnetic resonance fingerprinting with background gradient compensation.

机构信息

Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Korea.

出版信息

Magn Reson Med. 2019 Apr;81(4):2614-2623. doi: 10.1002/mrm.27556. Epub 2018 Nov 13.

DOI:10.1002/mrm.27556
PMID:30426568
Abstract

PURPOSE

This study aims to estimate PD, T , T , T , and B simultaneously using magnetic resonance fingerprinting (MRF) with compensation of the linearly varying background field.

METHODS

MRF based on fast imaging with steady-state precession (FISP) and multi-echo spoiled gradient (SPGR) schemes are alternatively used, which encode T and T , respectively. Simulations are performed to determine the appropriate ratio of the FISP and SPGR sections with respect to the T and T accuracy. Additionally, background field inhomogeneity (G ) compensation using z-shim gradients are incorporated into the SPGR section and the dictionary. The background field compensation is tested in the phantom experiment under well-shimmed and poor-shimmed conditions. An in vivo experiment is performed and the estimated parameters are compared before and after G compensation.

RESULTS

The T , T , and T values from the phantom results are in good agreement with the reference methods under well-shimmed condition. The underestimated T and T values under poor-shimmed condition are recovered by G compensation and the parameters are also in good agreement with the reference methods. In the human brain, T and T values are restored by G compensation in regions where the magnetic field is particularly inhomogeneous, such as near the sinus and ear canals.

CONCLUSIONS

The proposed FISP and SPGR combined MRF provides a simultaneous estimation of PD, T , T , T , and B . By incorporating field inhomogeneity as a gradient term into both the sequence and dictionary, T and T values can be restored where field inhomogeneity exists.

摘要

目的

本研究旨在利用磁共振指纹成像(MRF)补偿线性变化的背景场,同时估计 PD、T1、T2、T2*和 B。

方法

交替使用基于快速稳态进动(FISP)和多回波扰相梯度(SPGR)的 MRF,分别编码 T1 和 T2。通过模拟来确定 FISP 和 SPGR 节相对于 T1 和 T2 准确性的适当比例。此外,在 SPGR 节和字典中加入 z 补偿梯度以补偿背景场不均匀性(G)。在磁体匀场良好和不佳的情况下在体模实验中测试背景场补偿。进行体内实验,并比较 G 补偿前后的估计参数。

结果

在磁体匀场良好的情况下,体模结果的 T1、T2 和 T2*值与参考方法非常吻合。在磁体匀场不佳的情况下,低估的 T1 和 T2 值通过 G 补偿得到恢复,参数也与参考方法非常吻合。在人脑内,磁场特别不均匀的区域(如鼻窦和耳道附近),G 补偿恢复了 T1 和 T2 值。

结论

所提出的 FISP 和 SPGR 组合 MRF 可同时估计 PD、T1、T2、T2*和 B。通过将场不均匀性作为梯度项纳入序列和字典中,可以在存在场不均匀性的地方恢复 T1 和 T2 值。

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