no code implementations • 27 Feb 2023 • 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.
no code implementations • 22 Sep 2022 • Guanhua Wang, Jon-Fredrik Nielsen, Jeffrey A. Fessler, Douglas C. Noll
Optimizing 3D k-space sampling trajectories for efficient MRI is important yet challenging.
1 code implementation • 2 May 2022 • Melissa W. Haskell, Jon-Fredrik Nielsen, Douglas C. Noll
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.
no code implementations • 16 Apr 2021 • Shouchang Guo, Jeffrey A. Fessler, Douglas C. Noll
Oscillating Steady-State Imaging (OSSI) is a recent fMRI acquisition method that exploits a large and oscillating signal, and can provide high SNR fMRI.
2 code implementations • 27 Jan 2021 • Guanhua Wang, Tianrui Luo, Jon-Fredrik Nielsen, Douglas C. Noll, Jeffrey A. Fessler
Though trained with neural network-based reconstruction, the proposed trajectory also leads to improved image quality with compressed sensing-based reconstruction.
2 code implementations • 24 Aug 2020 • Tianrui Luo, Douglas C. Noll, Jeffrey A. Fessler, Jon-Fredrik Nielsen
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.