13 citations · 25 across the 7 of their papers we have counts for
8 papers
Fast and Robust T1 Mapping Based on a 3D Dual-Echo UTE Sequence (PETALUTE) for SPION Biodistribution Assessment
Zhen Jiang, Stephen Sawiak, Alexandra Lipka +12
Superparamagnetic iron oxide nanoparticles (SPIONs) such as ferumoxytol are promising theranostic agents detectable with MRI. Relaxation time mapping offers reproducible, quantitat…
Self-navigated 3D diffusion MRI using an optimized CAIPI sampling and structured low-rank reconstruction
Ziyu Li, Karla L. Miller, Xi Chen +2
3D multi-slab acquisitions are an appealing approach for diffusion MRI because they are compatible with the imaging regime delivering optimal SNR efficiency. In conventional 3D mul…
Clean self-supervised MRI reconstruction from noisy, sub-sampled training data with Robust SSDU
Charles Millard, Mark Chiew
Most existing methods for Magnetic Resonance Imaging (MRI) reconstruction with deep learning use fully supervised training, which assumes that a high signal-to-noise ratio (SNR), f…
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise
Charles Millard, Mark Chiew
In recent years, there has been attention on leveraging the statistical modeling capabilities of neural networks for reconstructing sub-sampled Magnetic Resonance Imaging (MRI) dat…
Tuning-free multi-coil compressed sensing MRI with Parallel Variable Density Approximate Message Passing (P-VDAMP)
Charles Millard, Mark Chiew, Jared Tanner +2
Magnetic Resonance Imaging (MRI) has excellent soft tissue contrast but is hindered by an inherently slow data acquisition process. Compressed sensing, which reconstructs sparse si…
Time-encoded pseudo-continuous arterial spin labeling: increasing SNR in ASL angiography
Joseph G. Woods, S. Sophie Schauman, Mark Chiew +2
Purpose: Dynamic angiography using arterial spin labeling (ASL) can provide detailed hemodynamic information. However, the long time-resolved readouts require small flip angles to…
Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion
Aaron T Hess, Iulius Dragonu, Mark Chiew
Purpose: To evaluate an algorithm for calibrationless parallel imaging to reconstruct undersampled parallel transmit field maps for the body and brain. Methods: Using synthetic dat…
PEAR: PEriodic And fixed Rank separation for fast fMRI
Lior Weizman, Karla L. Miller, Mark Chiew +1
In functional MRI (fMRI), faster acquisition via undersampling of data can improve the spatial-temporal resolution trade-off and increase statistical robustness through increased d…