利用多点编码最大化相位对比 mri 中的明确速度范围。

Shen Zhao, Rizwan Ahmad, Lee C Potter
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引用次数: 0

摘要

在相位对比磁共振成像(PC-MRI)中,体素的自旋速度被编码在图像相位中。速度编码梯度的强度可在速度噪声比(VNR)和相位混叠程度之间进行权衡。相位差提供了对未知背景相位的不变性。现有文献建议处理一组简化的相位差方程,以牺牲速度噪声比或无混叠的速度范围为代价,或两者兼而有之,从而简化相位解包问题。在这里,我们证明了最完整、最清晰的速度范围是平行六面体,可以通过联合处理所有相位差来获得。联合处理还能最大限度地提高速度噪声比。通过简单地理解清晰的平行六面体,我们可以分析新的多点采集,从而获得更大范围的无锯齿速度;我们将给出两个例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

MAXIMIZING UNAMBIGUOUS VELOCITY RANGE IN PHASE-CONTRAST MRI WITH MULTIPOINT ENCODING.

MAXIMIZING UNAMBIGUOUS VELOCITY RANGE IN PHASE-CONTRAST MRI WITH MULTIPOINT ENCODING.

In phase-contrast magnetic resonance imaging (PC-MRI), the velocity of spins at a voxel is encoded in the image phase. The strength of the velocity encoding gradient offers a trade-off between the velocity-to-noise ratio (VNR) and the extent of phase aliasing. Phase differences provide invariance to an unknown background phase. Existing literature proposes processing a reduced set of phase difference equations, simplifying the phase unwrapping problem at the expense of VNR or unaliased range of velocities, or both. Here, we demonstrate that the fullest unambiguous range of velocities is a parallelepiped, which can be accessed by jointly processing all phase differences. The joint processing also maximizes the velocity-to-noise ratio. The simple understanding of the unambiguous parallelepiped provides the potential for analyzing new multi-point acquisitions for an enhanced range of unaliased velocities; two examples are given.

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