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a-f BLAST: Non-Iterative Radial k-t BLAST Reconstruction for Real-Time Imaging

机译:a-f BLAST:用于实时成像的非迭代径向k-t BLAST重建

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摘要

Non-Cartesian trajectories are advantageous in the collection and reconstruction of dynamic MR images. Like many other fast imaging methods, the reconstruction technique k-t broad-use linear acquisition speed-up technique (BLAST) has been extended to non-Cartesian k-t BLAST through a conjugate gradient-based approach. However, it is necessary to transform and grid the data to a Cartesian domain as part of the reconstruction, a process which can be time consuming and computationally intensive. In this paper, a new non-iterative reconstruction, a-f BLAST, is proposed to extend k-t BLAST to radial sampling. The a-f BLAST reconstruction is performed in a previously unexplored domain termed the angular frequency-temporal frequency (a-f) space and uses similar steps to Cartesian k-t BLAST. The performance of this method was demonstrated on retrospectively undersampled numerical phantoms and compared with k-t BLAST, non-Cartesian k-t BLAST, and the sliding window technique. In addition, the reconstruction was tested on retrospectively and prospectively undersampled in vivo cardiac data. The a-f BLAST is shown to have a similar reconstruction time as k-t BLAST as well as outperform k-t BLAST in terms of root-mean-square error.
机译:非笛卡尔轨迹在动态MR图像的收集和重建中是有利的。像许多其他快速成像方法一样,重构技术k-t广泛使用的线性采集加速技术(BLAST)已通过基于共轭梯度的方法扩展到非笛卡尔k-t BLAST。但是,作为重建的一部分,有必要将数据转换并网格化到笛卡尔域,此过程可能既耗时又需要大量计算。在本文中,提出了一种新的非迭代重建a-f BLAST,以将k-t BLAST扩展到径向采样。 a-f BLAST重建是在先前未开发的域(称为角频率-时间频率(a-f)空间)中执行的,并使用与笛卡尔k-t BLAST相似的步骤。回顾性地在欠采样的数字模型上证明了该方法的性能,并与k-t BLAST,非笛卡尔k-t BLAST和滑动窗口技术进行了比较。此外,对回顾性和前瞻性采样不足的体内心脏数据进行了测试。显示a-f BLAST具有与k-t BLAST相似的重建时间,并且在均方根误差方面优于k-t BLAST。

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