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Recovering missing diffusion signal data for reconstructing fiber orientations

机译:恢复丢失的扩散信号数据以重建光纤方向

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Q-ball imaging (QBI) is a recent high angular resolution diffusion imaging technique for studying the orientation of fibers in the brain or heart, but it requires a high number of acquisitions, thus considerably lengthening acquisition time. Reducing diffusion data to be acquired while achieving the same fiber orientation reconstruction quality is then of fundamental importance. In this paper, we propose a new method of fiber orientation reconstruction from much less data acquisitions. The method is based on recovering missing diffusion data. It consists in imposing constraints both in q-space and in spatial space, applying data consistent principle in q-space, and iterating the process until no change is observed in the reconstructed orientation distribution function (ODF). The results show that using diffusion data in 12 directions, the reconstructed ODFs are rather close to those obtained with 42 diffusion directions, which allows shortening considerably acquisition time.
机译:Q球成像(QBI)是一种最新的高角度分辨率扩散成像技术,用于研究大脑或心脏中纤维的取向,但是它需要大量的采集,因此大大延长了采集时间。因此,在实现相同的纤维取向重建质量的同时减少要获取的扩散数据至关重要。在本文中,我们提出了一种基于更少数据采集的纤维取向重建的新方法。该方法基于恢复丢失的扩散数据。它包括在q空间和空间空间中施加约束,在q空间中应用数据一致原理,并迭代该过程,直到在重构的方向分布函数(ODF)中未观察到任何变化为止。结果表明,使用12个方向的扩散数据,重建的ODF接近于42个扩散方向获得的ODF,从而可以大大缩短采集时间。

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