Preclinical MR fingerprinting (MRF) at 7 T: effective quantitative imaging for rodent disease models
Preclinical MR fingerprinting (MRF) at 7 T: effective quantitative imaging for rodent disease models
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DOI：
10.1002/nbm.3262
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发表时间：
2015-03-01
影响因子：
2.9
通讯作者：
Lu, Lan
中科院分区：
文献类型：
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作者：
Gao, Ying;Chen, Yong;Lu, Lan
高场临床前MRI扫描仪现在通常用于定量评估疾病状态和各种啮齿动物模型中新疗法的疗效。不幸的是，传统的MRI方法极易受到呼吸和心脏运动伪影的影响，从而导致潜在的不准确和误导性数据。我们已经开发了一个最初的临床前7.0 t MRI实施高度新颖的MR指纹（MRF）方法，该方法已被描述为先前的临床成像应用。MRF技术将MRI采集参数的先验变化与基于字典的采集信号演化谱匹配相结合，同时生成T-1和T-2弛豫时间和质子密度的定量图。该临床前MRF采集是通过稳定状态自由进动（FISP） MRI脉冲序列快速成像构建的，在大约30分钟内获得600张具有演进T-1和T-2权重的MRF图像。这个最初的高场临床前MRF调查显示了不同放松时间的体外幻影的可重复性和差异性估计。小鼠肾脏和脑肿瘤模型的体内临床前MRF结果显示出对呼吸运动伪像的固有抵抗以及对已知病理的敏感性。这些结果表明，磁共振成像方法学可以为各种临床前成像应用的众多MRI参数的量化提供机会。版权所有：John Wiley & Sons， Ltd
High-field preclinical MRI scanners are now commonly used to quantitatively assess disease status and the efficacy of novel therapies in a wide variety of rodent models. Unfortunately, conventional MRI methods are highly susceptible to respiratory and cardiac motion artifacts resulting in potentially inaccurate and misleading data. We have developed an initial preclinical 7.0-T MRI implementation of the highly novel MR fingerprinting (MRF) methodology which has been described previously for clinical imaging applications. The MRF technology combines a priori variation in the MRI acquisition parameters with dictionary-based matching of acquired signal evolution profiles to simultaneously generate quantitative maps of T-1 and T-2 relaxation times and proton density. This preclinical MRF acquisition was constructed from a fast imaging with steady-state free precession (FISP) MRI pulse sequence to acquire 600 MRF images with both evolving T-1 and T-2 weighting in approximately 30 min. This initial high-field preclinical MRF investigation demonstrated reproducible and differentiated estimates of in vitro phantoms with different relaxation times. In vivo preclinical MRF results in mouse kidneys and brain tumor models demonstrated an inherent resistance to respiratory motion artifacts as well as sensitivity to known pathology. These results suggest that MRF methodology may offer the opportunity for the quantification of numerous MRI parameters for a wide variety of preclinical imaging applications. Copyright (c) 2015 John Wiley & Sons, Ltd.