摘要：Strong gradient systems can improve the signal-to-noise ratio of difusion MRI measurements and enable a wider range of acquisition parameters that are benefcial for microstructural imaging . We present a comprehensive difusion MRI dataset of 26 healthy participants acquired on the MGH-USC 3T 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 difusion measurement space, including two difusion times (19 and 49 ms), eight gradient strengths linearly spaced between 30 mT/m and 290 mT/m for each difusion time, and 32 or 64 uniformly distributed directions . The difusion 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 Difusion Microstructure Dataset (CDMD) may serve as a test bed for the development of new data analysis methods, such as fber orientation estimation, tractography and microstructural modelling .
