A fast MR fingerprinting simulator for direct error estimation and sequence optimization.
A fast MR fingerprinting simulator for direct error estimation and sequence optimization.
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DOI：
10.1016/j.mri.2023.01.011
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发表时间：
2023-05
影响因子：
2.5
通讯作者：
Ma, Dan
中科院分区：
文献类型：
--
作者：
Hu, Siyuan;Jordan, Stephen;Boyacioglu, Rasim;Rozada, Ignacio;Troyer, Matthias;Griswold, Mark;McGivney, Debra;Ma, Dan
关键词：
磁共振指纹（MRF）是一种新型的定量磁共振技术，同时提供多个组织属性图。在优化MRF扫描时，在成本函数中建模欠采样误差和现场缺陷，以直接测量定量误差，将使优化结果更具实用性和鲁棒性。然而，优化这样的成本函数在计算上是昂贵的，并且对于具有数万次迭代的MRF优化是不切实际的。在这里，我们引入了一个快速MRF模拟器来模拟实际扫描场景中的混叠图像，包括欠采样和系统缺陷，这大大减少了计算时间，并允许定量图的直接误差估计和有效的序列优化。我们通过模拟和体内实验来评估所提出方法的性能和计算速度。该方法的模拟与体内扫描的信号和MRF图非常接近，处理时间比使用非均匀傅里叶变换的传统模拟方法缩短了158倍。我们还演示了快速磁流变场模拟器在磁流变场序列优化中的应用。优化的序列通过体内扫描进行验证，以评估图像质量和准确性。优化后的序列在二维和三维扫描中产生无伪影的T1和T2图谱，其绘制精度与人工设计的序列相当，但扫描时间更短。将所提出的模拟器集成到MRF优化框架中，可以在优化过程中直接估计欠采样误差，并提供对欠采样伪影和场非均匀性具有鲁棒性的优化MRF序列。
Magnetic resonance fingerprinting (MRF) is a novel quantitative MR technique that simultaneously provides multiple tissue property maps. When optimizing MRF scans, modeling undersampling errors and field imperfections in cost functions for direct measurement of quantitative errors will make the optimization results more practical and robust. However, optimizing such cost function is computationally expensive and impractical for MRF optimization with tens of thousands of iterations. Here, we introduce a fast MRF simulator to simulate aliased images from actual scan scenarios including undersampling and system imperfections, which substantially reduces computational time and allows for direct error estimation of the quantitative maps and efficient sequence optimization. We evaluate the performance and computational speed of the proposed approach by simulations and in vivo experiments. The simulations from the proposed method closely approximate the signals and MRF maps from in vivo scans, with 158 times shorter processing time than the conventional simulation method using Non-uniform Fourier transform. We also demonstrate the power of applying the fast MRF simulator in MRF sequence optimization. The optimized sequences are validated with in vivo scans to assess the image quality and accuracy. The optimized sequences produce artifact-free T1 and T2 maps in 2D and 3D scans with equivalent mapping accuracy as the human-designed sequence but at shorter scan times. Incorporating the proposed simulator in the MRF optimization framework makes direct estimation of undersampling errors during the optimization process feasible, and provide optimized MRF sequences that are robust against undersampling artifacts and field inhomogeneity.
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DOI：
10.1002/jmri.27134
发表时间：
2021-03
期刊：
Journal of magnetic resonance imaging : JMRI
影响因子：
--
作者：
Assländer J
通讯作者：
Assländer J
影响因子：
3.3
作者：
Lam, Fan;Liang, Zhi-Pei
通讯作者：
Liang, Zhi-Pei
影响因子：
3.3
作者：
Cohen O;Zhu B;Rosen MS
通讯作者：
Rosen MS
DOI：
10.1073/pnas.2020516118
发表时间：
2021-10-05
影响因子：
11.1
作者：
Jordan, Stephen P.;Hu, Siyuan;Ma, Dan
通讯作者：
Ma, Dan
影响因子：
10.6
作者：
Bo Zhao;Haldar JP;Congyu Liao;Dan Ma;Yun Jiang;Griswold MA;Setsompop K;Wald LL
通讯作者：
Wald LL