Search Results for author:
Found 6 papers, 3 papers with code
Adaptive Sampling for Linear Sensing Systems via Langevin Dynamics
Adaptive or dynamic signal sampling in sensing systems can adapt subsequent sampling strategies based on acquired signals, thereby potentially improving image quality and speed.
Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)
Optimizing 3D k-space sampling trajectories for efficient MRI is important yet challenging.
Off-resonance artifact correction for magnetic resonance imaging: a review
In magnetic resonance imaging (MRI), inhomogeneity in the main magnetic field used for imaging, referred to as off-resonance, can lead to image artifacts ranging from mild to severe depending on the application.
Manifold Model for High-Resolution fMRI Joint Reconstruction and Dynamic Quantification
Oscillating Steady-State Imaging (OSSI) is a recent fMRI acquisition method that exploits a large and oscillating signal, and can provide high SNR fMRI.
B-spline Parameterized Joint Optimization of Reconstruction and K-space Trajectories (BJORK) for Accelerated 2D MRI
Though trained with neural network-based reconstruction, the proposed trajectory also leads to improved image quality with compressed sensing-based reconstruction.
Joint Design of RF and gradient waveforms via auto-differentiation for 3D tailored excitation in MRI
This paper proposes a new method for joint design of radiofrequency (RF) and gradient waveforms in Magnetic Resonance Imaging (MRI), and applies it to the design of 3D spatially tailored saturation and inversion pulses.
