pyAFQ Stanford HARDI tractography and mapping, updated

This tractography and registration mapping was created from the data that is in this PURL on the Stanford Digital Repository: https://searchworks.stanford.edu/view/yx282xq2090.The data were processed using the pyAFQ software (https://github.com/yeatmanlab/pyAFQ) and Dipy, to create tensor-based tracts. These were down-sampled by a factor of 1000, and stored in the trk file. The data were also registered to the MNI T2 template, using the SyN algorithm (Avants et al. 2008), implemented in Dipy. Both forward and backward transformation images were saved and are stored the nifti files.

本神经束追踪与配准图谱的源数据来自斯坦福数字知识库中该PURL链接对应的数据集：https://searchworks.stanford.edu/view/yx282xq2090。本数据集通过pyAFQ软件（https://github.com/yeatmanlab/pyAFQ）与Dipy工具进行处理，以生成基于张量的神经束。将生成的神经束以1000倍的比例进行降采样，并存储为trk格式文件。此外，本数据集还通过Dipy实现的SyN算法（Avants等，2008）配准至MNI T2模板。正向与反向变换图像均已保存，并存储为nifti格式文件。