The research in our lab focuses on the development of new MRI acquisition technologies that can dramatically improve the speed, sensitivity and specificity of brain imaging. Our research explores approaches in designing tailored data acquisition & reconstruction algorithms using signal processing/optimization/ML methods, to take advantage of the underlying MR Physics and emerging hardware.
The goal is to create new imaging strategies that can help address important clinical & neuroscientific questions. The technologies that we have developed have enabled highly detailed brain data at unprecedented temporal and spatial resolutions, that have helped extract a wealth of quantitative information about brain structure and physiology. Some of these technologies have now been successfully translated as FDA-approved product, that are now being used daily in the clinic on the Siemens, GE and Phillips MRI scanners worldwide.
– Wiley Online LibraryMRI Highly Accelerated Wave‐CAIPI T1‐SPACE versus Standard T1‐SPACE to detect brain gadolinium‐enhancing lesions at 3T
High-resolution three-dimensional (3D) post-contrast imaging of the brain is essential for comprehensive evaluation of inflammatory, neoplastic, and neurovascular diseases of the brain...
– Wiley Online LibraryEfficient T2 mapping with blip‐up/down EPI and gSlider‐SMS (T2‐BUDA‐gSlider)
To rapidly obtain high isotropic-resolution T2 maps with whole-brain coverage and high geometric fidelity. Methods A T2 blip-up/down EPI acquisition with generalized slice-dithered enhance...
– Wiley Online LibrarySegmented simultaneous multi‐slice diffusion‐weighted imaging with navigated 3D rigid motion correction
To improve the robustness of diffusion-weighted imaging (DWI) data acquired with segmented simultaneous multi-slice (SMS) echo-planar imaging (EPI) against in-plane and through-plane rigid...
– Scientific DataIn vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution
We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled at 1260 q-space points across 9 two-hour sessions on a single healthy participant...
– Wiley Online LibrarySNR‐enhanced diffusion MRI with structure‐preserving low‐rank denoising in reproducing kernel Hilbert spaces
To introduce, develop, and evaluate a novel denoising technique for diffusion MRI that leverages nonlinear redundancy in the data to boost the SNR while preserving signal information...
- – Harvard-MIT Health Sciences and Technology
Congratulations to Fuyixue Wang for completing her Medical Engineering and Medical Physics (MEMP) PhD program at MIT
- – Wiley Online Library
MRM Editor’s pick for August 2021
