72 citations · 108 across the 5 of their papers we have counts for
7 papers
Artificial Intelligence for Neuro MRI Acquisition: A Review
Hongjia Yang, Guanhua Wang, Ziyu Li +7
Magnetic resonance imaging (MRI) has significantly benefited from the resurgence of artificial intelligence (AI). By leveraging AI's capabilities in large-scale optimization and pa…
3D MR Fingerprinting for Dynamic Contrast-Enhanced Imaging of Whole Mouse Brain
Yuran Zhu, Guanhua Wang, Yuning Gu +9
Quantitative MRI enables direct quantification of contrast agent concentrations in contrast-enhanced scans. However, the lengthy scan times required by conventional methods are ina…
Adaptive Sampling for Linear Sensing Systems via Langevin Dynamics
Guanhua Wang, Douglas C. Noll, Jeffrey A. Fessler
Adaptive or dynamic signal sampling in sensing systems can adapt subsequent sampling strategies based on acquired signals, thereby potentially improving image quality and speed. Th…
Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)
Guanhua Wang, Jon-Fredrik Nielsen, Jeffrey A. Fessler +1
Optimizing 3D k-space sampling trajectories for efficient MRI is important yet challenging. This work proposes a generalized framework for optimizing 3D non-Cartesian sampling patt…
Efficient approximation of Jacobian matrices involving a non-uniform fast Fourier transform (NUFFT)
Guanhua Wang, Jeffrey A. Fessler
There is growing interest in learning Fourier domain sampling strategies (particularly for magnetic resonance imaging, MRI) using optimization approaches. For non-Cartesian samplin…
Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction
Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar +1
This paper examines a combined supervised-unsupervised framework involving dictionary-based blind learning and deep supervised learning for MR image reconstruction from under-sampl…
B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI
Guanhua Wang, Tianrui Luo, Jon-Fredrik Nielsen +2
Optimizing k-space sampling trajectories is a promising yet challenging topic for fast magnetic resonance imaging (MRI). This work proposes to optimize a reconstruction method and…