16 datasets found

q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans.

Dipy is a library for the analysis of diffusion MRI data.

DELIMIT is a framework extension for deep learning in dif-fusion imaging, which extends the basic framework PyTorch towards spherical signals.

Diffusion Magnetic Resonance Imaging (dMRI) dataset for high-resolution 3D diffusion MRI reconstruction from undersampled data

Physics-informed deep diffusion MRI reconstruction: Break the bottleneck of training data in artificial intelligence.

A paired phase and magnitude reconstruction for advanced diffusion-weighted imaging.

POCS-enhanced inherent correction of motion-induced phase errors (POCS-ICE) for high-resolution multishot diffusion MRI.

Diffusion MRI (dMRI) is an essential neuroimaging technique with high acquisition costs. Deep learning approaches have been used to enhance dMRI and predict diffusion biomarkers...

Real diffusion MRI data acquired using a SIEMENS 3T Magnetom Prisma MR scanner

Synthetic diffusion MRI data generated using Phantomαs

The Human Connectome Project Young Adult (HCP) dataset.

The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites. The Human Connectome Project Young Adult (HCP) dataset.

Simulated DW-MRI data for mean kurtosis estimation

Diffusion weighted magnetic resonance imaging (DW-MRI) data for mean kurtosis estimation

Wave-EPI is a highly accelerated EPI technique that uses wave encoding and multi-shot simultaneous multi-slice imaging to improve image quality and reduce artifacts.

Wave-CAIPI was applied to EPI readout to mitigate geometric distortion and T2 or T2* blurring by minimizing the effective echo-spacing with high in-plane undersampling and...