Search Results for author:
Found 6 papers, 4 papers with code
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.
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.
Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning
In vivo and ex vivo experiments demonstrate that MESE MWF and DESS PERK ff estimates are quantitatively comparable measures of WM myelin water content.
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels
This paper introduces a fast, general method for dictionary-free parameter estimation in quantitative magnetic resonance imaging (QMRI) via regression with kernels (PERK).
