13 datasets found

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used for performance characterization of a novel deep learning-based MR image reconstruction pipeline

The dataset used in this paper for reconstructing sparsely sampled MRI data, including brain and knee images.

The Stanford Fully Sampled 3D FSE Knees dataset is used for MRI reconstruction task. It contains 3D Cartesian proton-density knee scans of 20 healthy volunteers.

The Kirby21 dataset is used for Magnetic Resonance Imaging (MRI) reconstruction. It consists of 5460 slices of size 256x256 taken from 42 T1-weighted MPRAGE volumes.

IXI contains coil-combined magnitude images for T1-, T2- and PD-weighted acquisition emulated as single-coil data.

U2MRPD is a novel unsupervised framework for the reconstruction of undersampled MRI data.

The fastmri dataset is used for MRI reconstruction. It contains fully sampled knee MR images and k-spaces from 1500 patients obtained from 1.5 and 3.0T scanners.