activity
20182026
most citedUltra-high spatial resolution BOLD fMRI in humans using combined segmented-accelerated VFA-FLEET with a recursive RF pulse design

27 citations · 63 across the 20 of their papers we have counts for

collaborators
Showing 2019Show all

9 papers · 1 filter

eess.IV2019

Scan-specific, Parameter-free Artifact Reduction in K-space (SPARK)

Onur Beker, Congyu Liao, Jaejin Cho +3

We propose a convolutional neural network (CNN) approach that works synergistically with physics-based reconstruction methods to reduce artifacts in accelerated MRI. Given reconstr…

eess.IV2019

Echo Planar Time-Resolved Imaging (EPTI) with Subspace Reconstruction and Optimized Spatiotemporal Encoding

Zijing Dong, Fuyixue Wang, Timothy G. Reese +2

Purpose: To develop new encoding and reconstruction techniques for fast multi-contrast quantitative imaging. Methods: The recently proposed Echo Planar Time-resolved Imaging (EPTI)…

eess.IV2019

Joint multi-contrast Variational Network reconstruction (jVN) with application to rapid 2D and 3D imaging

Daniel Polak, Stephen Cauley, Berkin Bilgic +4

Purpose: To improve the image quality of highly accelerated multi-channel MRI data by learning a joint variational network that reconstructs multiple clinical contrasts jointly. Me…

eess.IV20195 cited

Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning

Daniel Polak, Itthi Chatnuntawech, Jaeyeon Yoon +6

We propose Nonlinear Dipole Inversion (NDI) for high-quality Quantitative Susceptibility Mapping (QSM) without regularization tuning, while matching the image quality of state-of-t…

eess.IV2019

High-fidelity, accelerated whole-brain submillimeter in-vivo diffusion MRI using gSlider-Spherical Ridgelets (gSlider-SR)

Gabriel Ramos-Llordén, Lipeng Ning, Congyu Liao +4

Purpose: To develop an accelerated, robust, and accurate diffusion MRI acquisition and reconstruction technique for submillimeter whole human brain in-vivo scan on a clinical scann…

eess.IV2019

Fast Sub-millimeter Diffusion MRI using gSlider-SMS and SNR-Enhancing Joint Reconstruction

Justin P. Haldar, Qiuyun Fan, Kawin Setsompop

We evaluate a new approach for achieving diffusion MRI data with high spatial resolution, large volume coverage, and fast acquisition speed. A recent method called gSlider-SMS enab…