Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset
| Autor: | Wang, Shanshan, Yu, Shoujun, Cheng, Jian, Jia, Sen, Tie, Changjun, Zhu, Jiayu, Peng, Haohao, Dong, Yijing, He, Jianzhong, Zhang, Fan, Xing, Yaowen, Jia, Xiuqin, Yang, Qi, Tian, Qiyuan, Guo, Hua, Li, Guobin, Zheng, Hairong |
|---|---|
| Rok vydání: | 2024 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | 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. Comment: 19 pages, 4 figures, 1 table |
| Databáze: | arXiv |
| Externí odkaz: |
|