高加速,血管内T1, T2和质子密度映射与线性代数建模和灵敏度剖面校正在3T。

Guan Wang, Yi Zhang, Shashank Sathyanarayana Hegde, Paul A Bottomley
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引用次数: 0

摘要

使用血管内(IV)检测器的血管壁MRI可以产生优越的局部信噪比(SNR),并生成高分辨率的T1、T2和质子密度(PD)图,可用于自动划分动脉粥样硬化病变阶段。然而,较长的采集时间可能会限制多参数映射。在这里,首次应用线性代数建模(SLAM)的光谱学,与标准的全k空间重建MIX-TSE序列在3T时相比,获得准确的区室平均T1, T2和PD测量速度至少快10倍。简单的相位和幅度灵敏度校正被纳入到SLAM重建中,以补偿IV探测器的不均匀性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Highly Accelerated, Intravascular T1, T2, and Proton Density Mapping with Linear Algebraic Modeling and Sensitivity Profile Correction at 3T.

Highly Accelerated, Intravascular T1, T2, and Proton Density Mapping with Linear Algebraic Modeling and Sensitivity Profile Correction at 3T.

Highly Accelerated, Intravascular T1, T2, and Proton Density Mapping with Linear Algebraic Modeling and Sensitivity Profile Correction at 3T.

Highly Accelerated, Intravascular T1, T2, and Proton Density Mapping with Linear Algebraic Modeling and Sensitivity Profile Correction at 3T.

Vessel wall MRI with intravascular (IV) detectors can produce superior local signal-to-noise ratios (SNR) and generate high-resolution T1, T2, and proton density (PD) maps that could be used to automatically classify atherosclerotic lesion stage. However, long acquisition times potentially limit multi-parametric mapping. Here, for the first time, spectroscopy with linear algebraic modeling (SLAM) is applied to yield accurate compartment-average T1, T2 and PD measures at least 10 times faster compared to a standard full k-space reconstructed MIX-TSE sequence at 3T. Simple phase and magnitude sensitivity corrections are incorporated into the SLAM reconstruction to compensate for IV detector non-uniformity.

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