54 citations · 193 across the 20 of their papers we have counts for
20 papers
A Multichannel RF Transceiver Array with mixed L-C loop and microstrip elements for Foot/Ankle MR Imaging at 7T
Aditya Bhosale, Leslie Ying, Xiaoliang Zhang
It is technically challenging to design efficient transceiver coil arrays for foot and ankle imaging at ultrahigh fields due to the irregular geometry of the anatomy. Shortened wav…
Design of a 13-Channel Hybrid Array System for Foot/Ankle Magnetic Resonance Imaging at 7T/300MHz
Aditya Bhosale, Leslie Ying, Xiaoliang Zhang
Microstrip lines are being used in MR applications due to their unique properties, such as reduced radiation loss, high-frequency capability, and reduced perturbation of sample loa…
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising
Peizhou Huang, Chaoyi Zhang, Xiaoliang Zhang +3
Deep learning methods have been successfully used in various computer vision tasks. Inspired by that success, deep learning has been explored in magnetic resonance imaging (MRI) re…
Hairpin RF Resonators for Transceiver Arrays with High Inter-channel Isolation and B1 Efficiency at Ultrahigh Field 7T MR Imaging
Komlan Payne, Leslie L. Ying, Xiaoliang Zhang
Electromagnetic decoupling among a close-fitting or high-density transceiver RF array elements is required to maintain the integrity of the magnetic flux density from individual ch…
Self-Learned Kernel Low Rank Approach TO Accelerated High Resolution 3D Diffusion MRI
Abhijit Baul, Nian Wang, Choyi Zhang +3
Diffusion Magnetic Resonance Imaging (dMRI) is a promising method to analyze the subtle changes in the tissue structure. However, the lengthy acquisition time is a major limitation…
Deep Manifold Learning for Dynamic MR Imaging
Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang +8
Purpose: To develop a deep learning method on a nonlinear manifold to explore the temporal redundancy of dynamic signals to reconstruct cardiac MRI data from highly undersampled me…