Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset
Abstract 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 thi...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-05640-2 |
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| author | Shanshan Wang Shoujun Yu Jian Cheng Sen Jia Changjun Tie Jiayu Zhu Haohao Peng Yijing Dong Jianzhong He Fan Zhang Yaowen Xing Xiuqin Jia Qi Yang Qiyuan Tian Hua Guo Guobin Li Hairong Zheng |
| author_facet | Shanshan Wang Shoujun Yu Jian Cheng Sen Jia Changjun Tie Jiayu Zhu Haohao Peng Yijing Dong Jianzhong He Fan Zhang Yaowen Xing Xiuqin Jia Qi Yang Qiyuan Tian Hua Guo Guobin Li Hairong Zheng |
| author_sort | Shanshan Wang |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-c5c5151fafd94e0586a345f2c44863ca |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-c5c5151fafd94e0586a345f2c44863ca2025-08-20T04:01:46ZengNature PortfolioScientific Data2052-44632025-08-0112111110.1038/s41597-025-05640-2Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial datasetShanshan Wang0Shoujun Yu1Jian Cheng2Sen Jia3Changjun Tie4Jiayu Zhu5Haohao Peng6Yijing Dong7Jianzhong He8Fan Zhang9Yaowen Xing10Xiuqin Jia11Qi Yang12Qiyuan Tian13Hua Guo14Guobin Li15Hairong Zheng16Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesSchool of Computer Science and Engineering, Beihang UniversityPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesPaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesUnited-Imaging HealthcareUnited-Imaging HealthcareUnited-Imaging HealthcareInstitute of Information Processing and Automation, College of Information Engineering, Zhejiang University of TechnologyUniversity of Electronic Science and Technology of ChinaUnited-Imaging HealthcareDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical UniversityDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical UniversitySchool of Biomedical Engineering, Tsinghua UniversitySchool of Biomedical Engineering, Tsinghua UniversityUnited-Imaging HealthcarePaul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of SciencesAbstract 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.https://doi.org/10.1038/s41597-025-05640-2 |
| spellingShingle | Shanshan Wang Shoujun Yu Jian Cheng Sen Jia Changjun Tie Jiayu Zhu Haohao Peng Yijing Dong Jianzhong He Fan Zhang Yaowen Xing Xiuqin Jia Qi Yang Qiyuan Tian Hua Guo Guobin Li Hairong Zheng Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset Scientific Data |
| title | Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset |
| title_full | Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset |
| title_fullStr | Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset |
| title_full_unstemmed | Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset |
| title_short | Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset |
| title_sort | diff5t benchmarking human brain diffusion mri with an extensive 5 0 tesla k space and spatial dataset |
| url | https://doi.org/10.1038/s41597-025-05640-2 |
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