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四维相位对比磁共振成像的多VENC采集以提高速度场测量精度。

Multi-VENC acquisition of four-dimensional phase-contrast MRI to improve precision of velocity field measurement.

作者信息

Ha Hojin, Kim Guk Bae, Kweon Jihoon, Kim Young-Hak, Kim Namkug, Yang Dong Hyun, Lee Sang Joon

机构信息

Department of Mechanical Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Pohang, 790-784, South Korea.

Asan Institute of Life Science, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.

出版信息

Magn Reson Med. 2016 May;75(5):1909-19. doi: 10.1002/mrm.25715. Epub 2015 Jun 8.

Abstract

PURPOSE

The present study aims to improve precision of four-dimensional (4D) phase-contrast (PC) MRI technique by using multiple velocity encoding (VENC) parameters.

THEORY AND METHODS

The 3D flow fields in an in vitro stenosis phantom and an in vivo ascending aorta were determined using a 4D PC-MRI sequence with multiple VENC values. The velocity field obtained for large VENC was combined with that from small VENC, unless velocity data were lost by phase aliasing and phase dispersion. Noise levels of the combined velocity fields were compared with the increasing overlapping number of VENC parameters.

RESULTS

The phantom measurement showed that the multi-VENC acquisition reduced the noise levels in radial and axial velocities (> 24 cm/s at VENC = 300 cm/s) down to 0.80 ± 0.45 cm/s and 5.60 ± 2.63 cm/s, respectively. This increased the velocity-to-noise ratio (VNR) by approximately two-fold to six-fold depending on the locations. As a result, the multi-VENC measurement could visualize the low-velocity recirculating flows more clearly.

CONCLUSION

The multi-VENC measurement of 4D PC-MRI sequence increased the VNR distribution by reducing velocity noise. The improved VNR can be beneficial for investigating blood flow structures in a flow field with a high velocity dynamic range.

摘要

目的

本研究旨在通过使用多个速度编码(VENC)参数来提高四维(4D)相位对比(PC)MRI技术的精度。

理论与方法

使用具有多个VENC值的4D PC-MRI序列确定体外狭窄模型和体内升主动脉中的三维流场。将大VENC获得的速度场与小VENC获得的速度场相结合,除非速度数据因相位混叠和相位离散而丢失。将组合速度场的噪声水平与VENC参数重叠数量的增加进行比较。

结果

模型测量表明,多VENC采集将径向和轴向速度(VENC = 300 cm/s时> 24 cm/s)的噪声水平分别降低至0.80±0.45 cm/s和5.60±2.63 cm/s。这使速度噪声比(VNR)根据位置提高了约两倍至六倍。结果,多VENC测量可以更清晰地显示低速再循环流。

结论

4D PC-MRI序列的多VENC测量通过降低速度噪声增加了VNR分布。改进的VNR对于研究具有高速动态范围的流场中的血流结构可能是有益的。

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