首个开放的5.0特斯拉脑部扩散MRI数据集，支持高精度成像研究。
Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset
- 采集多参数扩散MRI原始k空间数据，支持重建与分析。
- 包含多种b值和梯度方向，覆盖广泛脑微结构研究需求。
- 适合脑连接图谱、图像重建等领域的研究人员使用。
扩散磁共振成像（dMRI）为人类大脑微结构与连接组织提供了关键洞察。然而，具备高场强、公开获取且包含原始k空间数据的数据库仍十分有限。为此，我们推出了Diff5T——首个专注于人类大脑的全面5.0特斯拉扩散MRI数据集。该数据集包含原始k空间数据及重建后的扩散图像，采用多种成像协议采集。其设计旨在支持伪影校正、图像重建、预处理、扩散建模与轨迹追踪等创新方法的研发与基准测试。数据涵盖丰富的扩散参数，包括多个b值与梯度方向，适用于人脑微结构与连接性研究的广泛应用场景。强调开放获取与详细基准评估，Diff5T为推动基于扩散MRI的人类脑图谱研究提供宝贵资源，促进可复现性与跨神经科学及医学影像领域的协作。
原文摘要 · Abstract (English)
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.
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