Diffusion MRI of the brain enables to quantify white matter fiber orientations noninvasively. Several approaches have been proposed to estimate such characteristics from diffusion MRI data with spherical deconvolution being one of the most widely used methods. Spherical deconvolution requires to define––or derive from the data––a response function, which is used to compute the fiber orientation distribution (FOD). Different characteristics of the response function are expected to affect the FOD computation and the subsequent fiber tracking.

中文翻译：

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扩散 MRI 的纤维取向分布：不准确的响应函数校准的影响

大脑的扩散 MRI 能够无创地量化白质纤维的方向。已经提出了几种方法来从扩散 MRI 数据估计这些特征，其中球形去卷积是最广泛使用的方法之一。球面反卷积需要定义或从数据中推导出一个响应函数，该函数用于计算纤维取向分布 (FOD)。预计响应函数的不同特性会影响 FOD 计算和随后的光纤跟踪。