We present our new dataset of 99 simulated brains, suitable for fiber tractography training, validation and beyond. With the proposed approach it was possible to create a large dataset of 792 simulated MR images based on 99 subjects. A large variety of acquisition settings and artifacts could be realized. This dataset is the first large collective of diversely simulated brain-like MRI datasets. We believe that this unique dataset is an important contribution to the ongoing efforts of the tractography community to enable proper validation with a real ground truth and to further enable the training of new machine-learning based approaches.
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