Zero-MIRID (zero-shot self-supervised learning of Multi-shot Image Reconstruction for Improved Diffusion MRI) jointly reconstructs multi-shot diffusion-weighted EPI data by incorporating self-supervised deep learning-based image regularization techniques.
[paper]
Wave-MoDL (wave-encoded model-based deep learning for image reconstruction) enables highly accelerated MR scans that improve image fidelity and acquisition speed using wave-encoding strategy and deep learning network.
[paper]
Wave-EPI (wave-encoded echo-planar imaging) allows highly accelerated single- and multi-shot EPI with reduced g-factor and artifacts and may facilitate clinical and neuroscientific applications of EPI by improving the spatial and temporal resolution in functional and diffusion imaging.
[paper]
VUDU (Variable flip, blip-Up and -Down Undersampling) is for motion-robust, distortion-free multi-shot echo planar imaging acquisition.
[abstract]
VUDU-SAGE is motion-robust, distortion-free echo planar imaging and efficient T2 and T2* mappinig method.
Siemens MRI - VE11C
Request link: https://nmr.mgh.harvard.edu/c2p