Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants' white matter
Correction strategy for diffusion-weighted images corrupted with motion: application to the DTI evaluation of infants' white matter
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DOI：
10.1016/j.mri.2014.05.007
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发表时间：
2014-10-01
影响因子：
2.5
通讯作者：
Poupon, Cyril
中科院分区：
文献类型：
--
作者：
Dubois, Jessica;Kulikova, Sofya;Poupon, Cyril
目的：弥散成像技术（如DTI和HARDI）由于对受试者运动敏感，难以在婴儿中实施。短的采集时间通常是优选的，以牺牲空间分辨率和信噪比为代价。在估计局部扩散模型之前，大多数预处理技术仅配准扩散加权体积，而不校正由于运动或技术问题引起的切片内伪影。在这里，我们提出了一个完全自动化的策略，它利用了高的方向数，是基于球谐分解的diffusion signal.Material和方法：校正策略是基于两个连续的步骤：1）自动检测和重新定位损坏的切片; 2）校正涡流失真和重新对齐的错位体积。它进行了测试，从成人和非镇静的健康infants.Results的DTI数据：该方法进行了验证，通过模拟运动应用到一个未损坏的数据集，并通过与未移动的参考比较。第二，我们表明，适用于婴儿组的校正，使改善DTI地图，并增加DTI量化的可靠性在不成熟的corticosporal-spinal tract.Conclusion：这种自动化的策略进行可靠的DTI数据集，并可应用于球形单壳和多壳扩散成像。(C)2014爱思唯尔公司All rights reserved.
Objective: Diffusion imaging techniques such as DTI and HARDI are difficult to implement in infants because of their sensitivity to subject motion. A short acquisition time is generally preferred, at the expense of spatial resolution and signal-to-noise ratio. Before estimating the local diffusion model, most preprocessing techniques only register diffusion-weighted volumes, without correcting for intra-slice artifacts due to motion or technical problems. Here, we propose a fully automated strategy, which takes advantage of a high orientation number and is based on spherical-harmonics decomposition of the diffusion signal.Material and methods: The correction strategy is based on two successive steps: 1) automated detection and resampling of corrupted slices; 2) correction for eddy current distortions and realignment of misregistered volumes. It was tested on DTI data from adults and non-sedated healthy infants.Results: The methodology was validated through simulated motions applied to an uncorrupted dataset and through comparisons with an unmoved reference. Second, we showed that the correction applied to an infant group enabled to improve DTI maps and to increase the reliability of DTI quantification in the immature cortico-spinal tract.Conclusion: This automated strategy performed reliably on DTI datasets and can be applied to spherical single- and multiple-shell diffusion imaging. (C) 2014 Elsevier Inc. All rights reserved.