Motion immune diffusion imaging using augmented MUSE for high-resolution multi-shot EPI.
Motion immune diffusion imaging using augmented MUSE for high-resolution multi-shot EPI.
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DOI：
10.1002/mrm.25624
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发表时间：
2016-02
影响因子：
3.3
通讯作者：
Chen NK
中科院分区：
文献类型：
--
作者：
Guhaniyogi S;Chu ML;Chang HC;Song AW;Chen NK
开发新技术，减少通过高分辨率多镜头 EPI 采集的扩散成像中微观和宏观患者运动的影响。先前报道的多路复用灵敏度编码 (MUSE) 算法经过扩展，可在称为增强 MUSE (AMUSE) 的技术中解决宏观像素重合失调以及运动引起的相位误差。此外，为了在存在对象运动的情况下获得更准确的定量 DTI 测量，我们还考虑了宏观运动引起的镜头之间扩散编码的改变。 MUSE 和 AMUSE 根据模拟和体内运动损坏的多镜头扩散数据进行评估。对所得的成像质量和估计的扩散张量指标进行了评估。研究发现，与 MUSE 相比，AMUSE 可以减少宏观主体运动导致的图像模糊，但在忽略改变的扩散编码时会产生不准确的张量估计。在 AMUSE 中加入改变的扩散编码可以更好地估计扩散张量。在多镜头扩散成像期间存在宏观对象运动的情况下，使用 AMUSE 可以提高图像质量和扩散张量精度。这些技术应该有助于未来的高分辨率扩散成像。
To develop new techniques for reducing the effects of microscopic and macroscopic patient motion in diffusion imaging acquired with high-resolution multi-shot EPI. The previously reported Multiplexed Sensitivity Encoding (MUSE) algorithm is extended to account for macroscopic pixel misregistrations as well as motion-induced phase errors in a technique called Augmented MUSE (AMUSE). Furthermore, to obtain more accurate quantitative DTI measures in the presence of subject motion, we also account for the altered diffusion encoding among shots arising from macroscopic motion. MUSE and AMUSE were evaluated on simulated and in vivo motion-corrupted multi-shot diffusion data. Evaluations were made both on the resulting imaging quality and estimated diffusion tensor metrics. AMUSE was found to reduce image blurring resulting from macroscopic subject motion compared to MUSE, but yielded inaccurate tensor estimations when neglecting the altered diffusion encoding. Including the altered diffusion encoding in AMUSE produced better estimations of diffusion tensors. The use of AMUSE allows for improved image quality and diffusion tensor accuracy in the presence of macroscopic subject motion during multi-shot diffusion imaging. These techniques should facilitate future high-resolution diffusion imaging.