Mark Chiew

Inter-shot Motion Correction of Segmented 3D-GRASE ASL Perfusion Imaging with Self-Navigation and CAIPI: Data to Reproduce Statistics and Figures

Minhao HU, Frederik Lange, Peter Jezzard, J. A. Woods et autres

Data to reproduce statistical analysis and figures from the paper "Inter-shot Motion Correction of Segmented 3D-GRASE ASL Perfusion Imaging with Self-Navigation and CAIPI" (DOI link). Core Python code image reconstruction and motion correction can be found on GitHub.

gb, ca (code pays fourni par la source)

Inter-shot Motion Correction of Segmented 3D-GRASE ASL Perfusion Imaging with Self-Navigation and CAIPI: Data to Reproduce Statistics and Figures

Minhao HU, Frederik Lange, Peter Jezzard, J. A. Woods et autres

Data to reproduce statistical analysis and figures from the paper "Inter-shot Motion Correction of Segmented 3D-GRASE ASL Perfusion Imaging with Self-Navigation and CAIPI" (DOI link). Core Python code image reconstruction and motion correction can be found on GitHub.

gb, ca (code pays fourni par la source)

Inter-Shot Motion Correction of Segmented 3D-GRASE ASL Perfusion Imaging With Self-Navigation and CAIPI.

Minhao Hu, Frederik J Lange, Peter Jezzard, Joseph G. Woods et autres

Purpose Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter-shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self-navigated inter-shot motion correction method …

us (code pays fourni par la source)

Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning

Brenden Kadota, CHARLES MILLARD, Mark Chiew

Objective: Deep Learning has shown promise in accelerating MRI by reconstructing high-quality images from under-sampled data. While recent work has leveraged multi-contrast information to improve reconstruction performance, these methods rely on supervised learning, which requires fully sampled k-space for training. One method, …

Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning

Brenden Kadota, CHARLES MILLARD, Mark Chiew

Objective: Deep Learning has shown promise in accelerating MRI by reconstructing high-quality images from under-sampled data. While recent work has leveraged multi-contrast information to improve reconstruction performance, these methods rely on supervised learning, which requires fully sampled k-space for training. One method, …

Rosette MRI and MRSI at clinical and preclinical MRI scanners

Uzay Emir, Mark Chiew, Stephen J. Sawiak

Rosette Applications (MRI and MRSI) at clinical and preclinical MRI scanners

Rosette MRI and MRSI at clinical and preclinical MRI scanners

Uzay Emir, Mark Chiew, Stephen J. Sawiak

Rosette Applications (MRI and MRSI) at clinical and preclinical MRI scanners

Multi-Vendor Implementation and Comparison of Concentric Ring Trajectory Magnetic Resonance Spectroscopic Imaging

Uzay Emir, Ralph Noeske, Xin Shen, Antonia Šušnjar et autres

Multi-Vendor Implementation and Comparison of Density Weighted Concentric Ring Trajectory Magnetic Resonance Spectroscopic Imaging DOI: 10.13140/RG.2.2.27408.12804 standardization Across-vendor semi-LASER single-voxel MRS 3T https://www.researchgate.net/publication/349313092_Multi-Vendor_Implementation_and_Comparison_of_Density_Weighted_Concentric_Ring_Trajectory_Magnetic_Resonance_Spectroscopic_Imaging ZOOM MRSI ISMRM Uzay E Emir , Ralph Noeske , Xin Shen , Antonia Susnjar , Katrinus Keijnemans , …

us (code pays fourni par la source)

Multi-Vendor Implementation and Comparison of Concentric Ring Trajectory Magnetic Resonance Spectroscopic Imaging

Uzay Emir, Ralph Noeske, Xin Shen, Antonia Šušnjar et autres

Multi-Vendor Implementation and Comparison of Density Weighted Concentric Ring Trajectory Magnetic Resonance Spectroscopic Imaging DOI: 10.13140/RG.2.2.27408.12804 standardization Across-vendor semi-LASER single-voxel MRS 3T https://www.researchgate.net/publication/349313092_Multi-Vendor_Implementation_and_Comparison_of_Density_Weighted_Concentric_Ring_Trajectory_Magnetic_Resonance_Spectroscopic_Imaging ZOOM MRSI ISMRM Uzay E Emir , Ralph Noeske , Xin Shen , Antonia Susnjar , Katrinus Keijnemans , …

us (code pays fourni par la source)

Inter‐Shot Motion Correction of Segmented 3D ‐ GRASE ASL Perfusion Imaging With Self‐Navigation and CAIPI

Minhao Hu, Frederik Lange, Peter Jezzard, Joseph G. Woods et autres

PURPOSE: Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter-shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self-navigated inter-shot motion correction method …

gb, ch, ca (code pays fourni par la source)

From 3D Time-of-Flight Angiography to Accelerated 4D Arterial Spin Labeling Angiography: A Fast Few-Shot Transfer Learning Approach

Hao Li, Iulius Dragonu, Peter Jezzard, Thomas W. Okell et autres

Abstract Purpose To develop a data-efficient deep learning framework for rapid reconstruction of highly accelerated 4D arterial spin labeling (ASL) magnetic resonance angiography (MRA) with robust generalization using extremely limited acquired data, addressing the challenges of prolonged acquisition and reconstruction time. Methods …

gb, ca (code pays fourni par la source)

SelExNet : A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near et autres

ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF …

ca (code pays fourni par la source)