Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients.

Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE

Original Publication: London : Nature Publishing Group, 2014-

Diffusion Magnetic Resonance Imaging* ; Neuroimaging*; Brain/*diagnostic imaging; Adult ; Aged ; Connectome ; Female ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Young Adult

Strong gradient systems can improve the signal-to-noise ratio of diffusion MRI measurements and enable a wider range of acquisition parameters that are beneficial for microstructural imaging. We present a comprehensive diffusion MRI dataset of 26 healthy participants acquired on the MGH-USC 3 T Connectome scanner equipped with 300 mT/m maximum gradient strength and a custom-built 64-channel head coil. For each participant, the one-hour long acquisition systematically sampled the accessible diffusion measurement space, including two diffusion times (19 and 49 ms), eight gradient strengths linearly spaced between 30 mT/m and 290 mT/m for each diffusion time, and 32 or 64 uniformly distributed directions. The diffusion MRI data were preprocessed to correct for gradient nonlinearity, eddy currents, and susceptibility induced distortions. In addition, scan/rescan data from a subset of seven individuals were also acquired and provided. The MGH Connectome Diffusion Microstructure Dataset (CDMD) may serve as a test bed for the development of new data analysis methods, such as fiber orientation estimation, tractography and microstructural modelling.
(© 2022. The Author(s).)

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U01 MH093765 United States MH NIMH NIH HHS; K23-NS096056 U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS); K23-NS078044 U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (NINDS); P41-EB015896 U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB); P41 EB030006 United States EB NIBIB NIH HHS; S10 RR023043 United States RR NCRR NIH HHS; K23 NS096056 United States NS NINDS NIH HHS; U01-MH093765 U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH); 17POST33670452 American Heart Association (American Heart Association, Inc.); K23 NS078044 United States NS NINDS NIH HHS; R01-EB006847 U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB); R00 EB015445 United States EB NIBIB NIH HHS; R01 NS118187 United States NS NINDS NIH HHS; S10 RR019307 United States RR NCRR NIH HHS; R00-EB015445 U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB); Claflin Distinguished Scholar Award Massachusetts General Hospital (MGH); U01-EB026996 U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB); U01 EB026996 United States EB NIBIB NIH HHS; R01 EB006847 United States EB NIBIB NIH HHS; P41 EB015896 United States EB NIBIB NIH HHS; S10 RR023401 United States RR NCRR NIH HHS; P41-EB030006 U.S. Department of Health & Human Services | NIH | National Institute of Biomedical Imaging and Bioengineering (NIBIB); K99 AG073506 United States AG NIA NIH HHS; K99-AG073506 U.S. Department of Health & Human Services | NIH | National Institute on Aging (U.S. National Institute on Aging)

Date Created: 20220119 Date Completed: 20220211 Latest Revision: 20240405

20240405

PMC8766594

10.1038/s41597-021-01092-6

35042861