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Abstract #3406

Providing realistic ground truth and AI-ready data for fiber tractography: The 99 simulated brains dataset

Peter Neher1 and Klaus Maier-Hein1,2,3
1Medical Image Computing, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Medical Faculty, University of Heidelberg, Heidelberg, Germany, 3Pattern Analysis and Learning Group, Heidelberg University Hospital, Heidelberg, Germany

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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