Diffusion magnetic resonance imaging (dMRI) provides critical insights into the microstructural and connectional organization of the human brain. However, the availability of high-field, open-access datasets that include raw k-space data for advanced research remains limited. To address this gap, we introduce Diff5T, a first comprehensive 5.0 Tesla diffusion MRI dataset focusing on the human brain. This dataset includes raw k-space data and reconstructed diffusion images, acquired using a variety of imaging protocols. Diff5T is designed to support the development and benchmarking of innovative methods in artifact correction, image reconstruction, image preprocessing, diffusion modelling and tractography. The dataset features a wide range of diffusion parameters, including multiple b-values and gradient directions, allowing extensive research applications in studying human brain microstructure and connectivity. With its emphasis on open accessibility and detailed benchmarks, Diff5T serves as a valuable resource for advancing human brain mapping research using diffusion MRI, fostering reproducibility, and enabling collaboration across the neuroscience and medical imaging communities.

本研究针对高场开放访问数据集的稀缺性问题，提供了一个全面的人脑5.0特斯拉扩散MRI数据集Diff5T，该数据集包含原始K空间数据及重建的扩散影像。Diff5T支持多种成像协议，旨在推动成像伪影校正、影像重建、图像预处理、扩散建模和纤维追踪等创新方法的开发，为神经科学和医学影像领域的研究提供了宝贵的资源。

Diff5T：基于广泛的5.0特斯拉K空间和空间数据集的人脑扩散MRI基准测试