Mark Chiew

This paper develops a fast few-shot transfer learning approach for reconstructing highly accelerated 4D arterial spin labeling angiography using simulated data and minimal experimental data.

The paper introduces a non-contrast MRI method that simultaneously acquires angiographic, perfusion, and structural brain images in six minutes, showing improved vessel visibility and fewer artifacts compared to conventional methods.

This paper develops a few-shot learning method for 3D TOF-MRA reconstruction, achieving high-quality results with minimal experimental data and outperforming existing methods.

This paper introduces a method to achieve ultra-high temporal resolution 4D angiography using arterial spin labeling with subspace reconstruction, improving spatiotemporal fidelity and temporal resolution.

This paper introduces a subspace-based motion correction method for MRI with varying tissue contrast, improving image quality and correlation with reference images.

This study improves functional MRI analysis in awake non-human primates by applying dynamic off-resonance correction, enhancing image fidelity and activation estimates.

This paper introduces an efficient 3D cone trajectory design for improved spatial resolution and repeatability in combined angiographic and perfusion MRI using arterial spin labeling.

This study shows that the dorsal raphe nucleus (DRN) in monkeys influences transitions between high and low motivation states based on reward availability.

This paper develops a novel UTE 31P 3D MRSI acquisition and processing pipeline, demonstrating high repeatability across different clinical setups.

This study quantifies in vivo brain iron concentration using a 3D rosette-based ultra-short echo time MRI sequence and demonstrates its ability to highlight deep brain structures with potential iron accumulations.

This paper improves the robustness of 3D multi-shot EPI for fMRI at 7T by combining a new sampling trajectory with a structured low-rank reconstruction method, achieving improved tSNR and acceleration.

This paper optimizes a non-contrast MRI technique to generate 4D angiographic and perfusion images of the whole head from a single scan using radial imaging and arterial spin labeling.

This paper introduces a model-based method to correct dynamic off-resonance in accelerated fMRI of awake non-human primates, reducing artifacts and improving image quality.

This paper assesses uncertainty reduction in MRSI denoising methods and proposes improved uncertainty estimation and rank threshold selection.

This paper introduces a 3D dual-echo UTE MRI sequence for imaging myelin bilayers, showing higher uT2 fraction in white matter than grey matter.

This paper introduces a reformulated low-rank fMRI reconstruction method with L2 constraints, showing improved reconstruction quality at higher acceleration factors and lower SNR.

The paper introduces SILVER, a radial sampling method for MRI that improves SNR and uniformity compared to golden ratio sampling in dynamic imaging.

This study develops a high-resolution MRSI technique for the cerebellum, enabling detailed metabolic mapping with improved spatial resolution and reduced artifacts.

The paper describes a pipeline for quantitative susceptibility and R2* mapping in post-mortem brains and compares results between ALS patients and controls using histology validation.

This paper demonstrates vessel-selective arterial spin labeling angiography with high acceleration and no loss of image quality compared to conventional methods.

This paper improves statistical efficiency in simultaneous multi-slice fMRI by introducing temporally adaptive regularization, enhancing tSNR and GLM efficiency while reducing noise amplification.

This study introduces a multi-band magnetic resonance spectroscopy imaging technique that accelerates data acquisition while maintaining spectral quality for metabolite mapping.