The utilized diffusion datasets were already preprocessed by the HCP diffusion pipeline (Glasser et al., 2013 (link)). Briefly, distortions were corrected using a model-based approach that simultaneously takes into account susceptibility and eddy-current induced distortions, as well as head motion.
3t scanner
The 3T scanner is a magnetic resonance imaging (MRI) device that generates a strong magnetic field of 3 Tesla (T) for imaging the human body. It is designed to capture high-resolution images of the internal structures and functions of the body. The 3T scanner utilizes advanced technology to provide detailed information for medical diagnosis and research purposes.
Lab products found in correlation
160 protocols using 3t scanner
Healthy Brain MRI Diffusion Datasets
The utilized diffusion datasets were already preprocessed by the HCP diffusion pipeline (Glasser et al., 2013 (link)). Briefly, distortions were corrected using a model-based approach that simultaneously takes into account susceptibility and eddy-current induced distortions, as well as head motion.
Resting-State fMRI Acquisition Protocol
Fast Spin Echo MRI Head Imaging
Working Memory fMRI in Alzheimer's
MEG Recordings of Brain Activity
3T MRI Brain Scanning Protocol
Resting-State fMRI Acquisition Protocol
The structural and functional MRI images were acquired using the following parameters [48 (link)]:
Structural MRI: T1w 3D magnetization-prepared rapid acquisition with gradient echo (MPRAGE), Field of View: 224 × 224 mm, TR = 2400 ms, TE = 2.14 ms, Flip Angle= 8◦, Voxel size= 0.7 mm isotropic. T2W 3D T2-SPACE, Field of View: 224 × 224 mm, TR = 3200 ms, TE = 565 ms, Flip Angle= variable, Voxel size=0.7 mm isotropic.
Functional MRI: Gradient echo Echo Planar Imaging (EPI) sequence, Field of View: 208 × 180 mm (RO×PE), TR = 720 ms, TE = 33.1 ms, Flip Angle= 52◦, Voxel size: 2.0 mm isotropic, 72 slices.
Retrospective Analysis of GBM Surgical Outcomes
Functional MRI Analysis of Brain Imaging Data
Statistical Parametric Mapping (SPM12) (Welcome Department of Imaging Neuroscience, London, UK) and the Analysis of Functional Neuroimaging software were employed for the functional MRI data analysis. Functional images were despiked Analysis of Functional NeuroImages (AFNI), corrected for motion-related artifacts (SPM12), normalized to MNI standard space (SPM12), smoothed with a 8 mm full-width-at-half-maximum Gaussian kernel (SPM12) and detrended (AFNI).
Multimodal Brain Imaging in Cancer Survivors
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