k-space weighted image average (KWIA) for ASL-based dynamic MR angiography and perfusion imaging.
k-space weighted image average (KWIA) for ASL-based dynamic MR angiography and perfusion imaging.
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DOI：
10.1016/j.mri.2021.11.017
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发表时间：
2022-03
影响因子：
2.5
通讯作者：
Wang DJJ
中科院分区：
文献类型：
--
作者：
Zhao C;Shao X;Yan L;Wang DJJ
针对基于动脉自旋标记（ASL）的动态磁共振血管成像（dMRA）和灌注成像（perfusion imaging）等动态磁共振成像的信噪比（SNR）问题，提出了一种新的去噪算法k空间加权图像平均（KWIA）。KWIA将每个时间帧的k空间划分为多个环，k空间的中心环保持不变以保持图像对比度和时间分辨率，而外部环与相邻时间帧逐渐平均以增加SNR。进行了模拟和体内dMRA和多延迟ASL研究，以评估KWIA在各种MRI采集条件下的性能。信噪比和时间信号之间的误差KWIA处理和原始数据进行了测量。与原始图像相比，对KWIA处理图像的动态血流信号可视化以及定量参数图进行了评价。KWIA在dMRA和多延迟ASL下分别实现了1.73和2.0的信噪比，这与理论预测一致。使用KWIA在dMRA的远端小血管和多延迟ASL的小脑结构中证明了动态血流信号的可视化改善。在KWIA处理的dMRA和ASL信号中观察到约5%的时间误差。dMRA的定量参数图显示了精细的解剖特征，并减少了多延迟ASL的模型拟合残差。与其他传统去噪方法相比，KWIA是一种灵活的去噪算法，可将基于ASL的dMRA和灌注MRI的SNR提高高达2倍，而不会影响空间和时间分辨率或量化精度。
A novel denoising algorithm termed k-space weighted image average (KWIA) was proposed to improve the signal-to-noise ratio (SNR) of dynamic MRI, such as arterial spin labeling (ASL)-based dynamic magnetic resonance angiography (dMRA) and perfusion imaging. KWIA divides the k-space of each time frame into multiple rings, the central ring of the k-space remains intact to preserve the image contrast and temporal resolution, while outer rings are progressively averaged with neighboring time frames to increase SNR. Simulations and in-vivo dMRA and multi-delay ASL studies were performed to evaluate the performance of KWIA under various MRI acquisition conditions. SNR ratios and temporal signal errors between KWIA-processed and the original data were measured. Visualization of dynamic blood flow signals as well as quantitative parametric maps were evaluated for KWIA-processed images as compared to the original images. KWIA achieved a SNR ratio of 1.73 for dMRA and 2.0 for multi-delay ASL respectively, which were in accordance with the theoretical predictions. Improved visualization of dynamic blood flow signals was demonstrated using KWIA in distal small vessels in dMRA and small brain structures in multi-delay ASL. Approximately 5% temporal errors were observed in both KWIA-processed dMRA and ASL signals. Fine anatomical features were revealed in the quantitative parametric maps of dMRA, and the residuals of model fitting were reduced for multi-delay ASL. Compared to other conventional denoising methods, KWIA is a flexible denoising algorithm that improves the SNR of ASL-based dMRA and perfusion MRI by up to 2-fold without compromising spatial and temporal resolution or quantification accuracy.
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影响因子：
2.5
作者：
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