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The effect of the number of fibers in tractography reconstruction of white matter bundles

机译:白质束牵引重建纤维数量的效果

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The study of white matter (WM) through diffusion Magnetic Resonance Imaging (dMRI) is crucial to obtain a better understanding of human brain connections and functions, at a macroscopic level. A large number of works have focused on long range brain connections, while recently, several studies have also analyzed superficial WM connectivity. In recent years, with the massive use of HCP database, and its processing with known softwares like DSI Studio and MRtrix, it is necessary to evaluate the influence of tractography parameters on the reconstruction of fiber bundles and further analyses. We study the effect of the number of fibers, for whole brain tractography, on the reconstruction of deep and superficial WM bundles based on their segmentation using multi-subject bundle atlases. For DSI Studio (deterministic algorithm), a value of 1M fibers could reconstruct most of deep white matter (DWM) bundles, while a value of 1.5M was required for superficial white matter (SWM) bundles. In the case of MRtrix (probabilistic algorithm), a value of 3M fibers was found to be suitable for the study of both kinds of fibers. Furthermore, we found the tracking of SWM bundles to be more sensitive to several parameters than DWM, for DSI Studio.
机译:通过扩散磁共振成像(DMRI)对白质(WM)的研究至关重要,以便在宏观水平上更好地理解人脑连接和功能。大量作品专注于远程大脑连接,而最近,几项研究也分析了肤浅的WM连接。近年来,随着HCP数据库的大规模使用,及其具有如DSI Studio和MRTRIX这样的已知软件的处理,有必要评估牵引参数对纤维捆绑重建的影响和进一步分析。我们研究了纤维数量,对于整个脑牵引,基于使用多对象捆绑包装的分割对深层和肤色WM捆绑重建的影响。对于DSI Studio(确定性算法),1M纤维的值可以重建大部分深白物质(DWM)束,而浅表白质(SWM)束需要1.5米。在MRTRIX(概率算法)的情况下,发现3M纤维的值适用于对两种纤维的研究。此外,我们发现SWM捆绑的跟踪对DSI Studio的DWM比DWM更敏感。

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