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Online orientation distribution function reconstruction in constant solid angle and its application to motion detection in HARDI

机译:等角线在线定向分布函数重构及其在HARDI运动检测中的应用

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The diffusion orientation distribution function é can be reconstructed from q-ball imaging (QBI) to map the complex intravoxel structure of water diffusion. As acquisition time is particularly large for high angular resolution diffusion imaging (HARDI), fast estimation algorithms have recently been proposed, as an on-line feedback on the reconstruction accuracy. Thus the acquisition could be stopped or continued on demand. We adapt these real-time algorithms to the mathematically correct definition of ODF in constant solid angle (CSA), and develop a motion detection algorithm upon this reconstruction. Results of improved fiber crossing detection by CSA ODF are shown, and motion detection was implemented and tested in vivo.
机译:可以从q球成像(QBI)重建扩散方向分布函数é,以绘制水扩散的复杂体素结构。由于高角度分辨率扩散成像(HARDI)的采集时间特别长,因此最近提出了快速估计算法,作为对重建精度的在线反馈。因此,可以按需停止或继续进行采集。我们将这些实时算法调整为以恒定立体角(CSA)对ODF进行数学上正确的定义,并在此重构基础上开发出一种运动检测算法。显示了通过CSA ODF改进的纤维交叉检测的结果,并且在体内实施并测试了运动检测。

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