Rapid MR relaxometry using deep learning: An overview of current techniques and emerging trends
Quantitative mapping of MR tissue parameters such as the spin‐lattice relaxation time (T1),
the spin‐spin relaxation time (T2), and the spin‐lattice relaxation in the rotating frame (T1ρ) …
the spin‐spin relaxation time (T2), and the spin‐lattice relaxation in the rotating frame (T1ρ) …
Single‐shot T2 mapping using overlapping‐echo detachment planar imaging and a deep convolutional neural network
Purpose An end‐to‐end deep convolutional neural network (CNN) based on deep residual
network (ResNet) was proposed to efficiently reconstruct reliable T2 mapping from single …
network (ResNet) was proposed to efficiently reconstruct reliable T2 mapping from single …
MOdel-Based SyntheTic Data-Driven Learning (MOST-DL): Application in Single-Shot T2 Mapping With Severe Head Motion Using Overlapping-Echo Acquisition
Q Yang, Y Lin, J Wang, J Bao, X Wang… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
Use of synthetic data has provided a potential solution for addressing unavailable or
insufficient training samples in deep learning-based magnetic resonance imaging (MRI) …
insufficient training samples in deep learning-based magnetic resonance imaging (MRI) …
A simultaneous multi‐slice T2 mapping framework based on overlapping‐echo detachment planar imaging and deep learning reconstruction
Purpose Quantitative MRI (qMRI) is of great importance to clinical medicine and scientific
research. However, most qMRI techniques are time‐consuming and sensitive to motion …
research. However, most qMRI techniques are time‐consuming and sensitive to motion …
[HTML][HTML] Single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MOLED) imaging
Multi-parametric quantitative magnetic resonance imaging (mqMRI) allows the
characterization of multiple tissue properties non-invasively and has shown great potential …
characterization of multiple tissue properties non-invasively and has shown great potential …
Physics-driven deep learning methods for fast quantitative magnetic resonance imaging: Performance improvements through integration with deep neural networks
Quantitative magnetic resonance imaging (qMRI) aims to obtain quantitative biophysical
parameters based on physical models derived from MR spin magnetization evolution. This …
parameters based on physical models derived from MR spin magnetization evolution. This …
Robust Single-Shot T2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network
J Zhang, J Wu, S Chen, Z Zhang, S Cai… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Quantitative magnetic resonance imaging (MRI) is of great value to both clinical diagnosis
and scientific research. However, most MRI experiments remain qualitative, especially …
and scientific research. However, most MRI experiments remain qualitative, especially …
Single‐shot T2 mapping via multi‐echo‐train multiple overlapping‐echo detachment planar imaging and multitask deep learning
B Ouyang, Q Yang, X Wang, H He, L Ma… - Medical …, 2022 - Wiley Online Library
Background Quantitative magnetic resonance imaging provides robust biomarkers in clinics.
Nevertheless, the lengthy scan time reduces imaging throughput and increases the …
Nevertheless, the lengthy scan time reduces imaging throughput and increases the …
Towards Better Generalization Using Synthetic Data: A Domain Adaptation Framework for T2 Mapping via Multiple Overlapping-Echo Acquisition
C Zhang, Q Yang, L Fan, S Yu, L Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The generation of synthetic data using physics-based modeling provides a solution to
limited or lacking real-world training samples in deep learning methods for rapid quantitative …
limited or lacking real-world training samples in deep learning methods for rapid quantitative …
High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning
H Huang, Q Yang, J Wang, P Zhang… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. Bloch simulation constitutes an essential part of magnetic resonance imaging
(MRI) development. However, even with the graphics processing unit (GPU) acceleration …
(MRI) development. However, even with the graphics processing unit (GPU) acceleration …