Optimized diffusion gradient orientation schemes for corrupted clinical DTI data sets
Optimized diffusion gradient orientation schemes for corrupted clinical DTI data sets
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DOI：
10.1007/s10334-006-0036-0
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发表时间：
2006-08-01
影响因子：
2.3
通讯作者：
Le Bihan, D.
中科院分区：
文献类型：
--
作者：
Dubois, J.;Poupon, C.;Le Bihan, D.
目的：提出一种生成扩散梯度方向方案的方法，如果由于患者运动而导致采集被破坏或在完成之前终止，该方法允许从临床 DT-MRI 中的部分数据集重建扩散张量。材料和方法：开发了一种通用能量最小化静电模型，其中方向之间的相互作用根据采集过程中的顺序进行加权。在本报告中，特别考虑了两种损坏场景，以生成相对统一的 18 和 60 方向方案，以及 6 和 15 方向的有用子集。通过能量、条件数和旋转不变性将集合和子集与传统集合进行比较。在志愿者身上测试了 18 个方向的方案。结果：无论是考虑完整集还是仅考虑子集，优化集在能量、条件数和旋转不变性方面与均匀集相似。无论采集时间如何，体内获得的扩散图都接近均匀组的扩散图。传统方案的情况并非如此，其子集均匀性不足。结论：通过所提出的方法，可以生成响应多种腐败场景的方向集，这对于对不合作的患者或婴儿进行成像可能有用。
Objective: A method is proposed for generating schemes of diffusion gradient orientations which allow the diffusion tensor to be reconstructed from partial data sets in clinical DT-MRI, should the acquisition be corrupted or terminated before completion because of patient motion.Materials and Methods: A general energy-minimization electrostatic model was developed in which the interactions between orientations weighted according to their order during acquisition. In this report, two corruption scenarios were specifically considered for generating relatively uniform schemes of 18 and 60 orientations, with useful subsets of 6 and 15 orientations. The sets and subsets were compared to conventional sets through their energy, condition number and rotational invariance. Schemes of 18 orientations were tested on a volunteer.Results : The optimized sets were similar to uniform sets in terms of energy, condition number and rotational invariance, whether the complete set or only a subset was considered. Diffusion maps obtained in vivo were close to those for uniform sets whatever the acquisition time was. This was not the case with conventional schemes, whose subset uniformity was insufficient.Conclusion: With the proposed approach, sets of orientations responding to several corruption scenarios can be generated, which is potentially useful for imaging uncooperative patients or infants.