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Comparing diffusion tensor and spherical harmonic tractography for in utero studies of fetal brain connectivity

机译:比较弥散张量和球谐谐波成像技术在宫内研究胎儿大脑的连通性

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Techniques for iterative reconstruction of magnetic resonance diffusion images from motion corrected multi-planar acquisitions are beginning to allow the use of more complex diffusion models and tractography techniques to study early brain connectivity. Many techniques have been developed for adult and neonatal brain tractography from diffusion images. However, fundamental differences in the underlying tissues, signal levels and relative spatial resolution that are available in fetal studies mean these techniques may need to be significantly adapted to deal with the different challenges. Here we evaluate and compare the use of diffusion tensor and spherical harmonic models in extracting known fetal white matter connective anatomy from multi-planar, motion corrected, variable data density studies of normally developing human fetal brains. Visual evaluation of known tracts indicates that, although there are significant differences in the diffusion properties of fetal brain tracts and also image signal strength in fetal brain studies, when compared to adult brain imaging and tractography, high order models such as spherical harmonic techniques still offer advantages in appropriately delineating known anatomy from in utero data.
机译:来自运动校正的多平面采集的磁共振扩散图像的迭代重建的技术开始允许使用更复杂的扩散模型和牵引技术来研究早期的脑连接。已经为来自扩散图像的成人和新生脑牵引开发了许多技术。然而,胎儿研究中可用的潜在组织,信号水平和相对空间分辨率的基本差异是指这些技术可能需要显着适应处理不同的挑战。在这里,我们评估并比较扩散张量和球形谐波模型在提取来自多平面的已知胎儿白质结缔组织中的使用,可变数据密度研究通常发育的人类胎儿大脑。已知束的视觉评估表明,胎儿脑道扩散特性以及胎儿脑研究中的图像信号强度存在显着差异,但与成年脑成像和牵引相比,诸如球形谐波技术等高阶模型仍然提供在从子宫数据中适当地描绘已知解剖学方面的优点。

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