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 …

Intravoxel incoherent motion magnetic resonance imaging reconstruction from highly under-sampled diffusion-weighted PROPELLER acquisition data via physics …

J Wang, W Geng, J Wu, T Kang, Z Wu… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. The acquisition of diffusion-weighted images for intravoxel incoherent motion
(IVIM) imaging is time consuming. This work aims to accelerate the scan through a highly …

Rapid high‐fidelity mapping using single‐shot overlapping‐echo acquisition and deep learning reconstruction

Q Yang, L Ma, Z Zhou, J Bao, Q Yang… - Magnetic …, 2023 - Wiley Online Library
Purpose To develop and evaluate a single‐shot quantitative MRI technique called GRE‐
MOLED (gradient‐echo multiple overlapping‐echo detachment) for rapid T 2* T _2^ ∗ …

Preoperative Subtyping of WHO Grade 1 Meningiomas Using a Single‐Shot Ultrafast MR T2 Mapping

Z Li, H Zhang, X Wang, Y Yang, Y Zhang… - Journal of Magnetic …, 2023 - Wiley Online Library
Background Meningioma subtype is crucial in treatment planning and prognosis delineation,
for grade 1 meningiomas. T2 relaxometry could provide detailed microscopic information but …

Positive Progesterone Receptor Expression in Meningioma May Increase the Transverse Relaxation: First Prospective Clinical Trial Using Single-Shot Ultrafast T2 …

Z Li, X Wang, H Zhang, Y Yang, Y Zhang, Y Zhuang… - Academic …, 2024 - Elsevier
Abstract Rationale and Objectives This project aims to investigate the diagnostic
performance of multiple overlapping-echo detachment imaging (MOLED) technique-derived …

Sub-second whole brain T2 mapping via multiband SENSE multiple overlapping-echo detachment imaging and deep learning

S Li, T Kang, J Wu, W Chen, Q Lin, Z Wu… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. Most quantitative magnetic resonance imaging (qMRI) methods are time-
consuming. Multiple overlapping-echo detachment (MOLED) imaging can achieve …

3t2FTS: A novel feature transform strategy to classify 3D MRI voxels and its application on HGG/LGG classification

A Hajmohamad, H Koyuncu - Machine Learning and Knowledge …, 2023 - mdpi.com
The distinction between high-grade glioma (HGG) and low-grade glioma (LGG) is generally
performed with two-dimensional (2D) image analyses that constitute semi-automated tumor …

Anti-motion Ultrafast T2 Mapping Technique for Quantitative Detection of the Normal-Appearing Corticospinal Tract Changes in Subacute-Chronic Stroke Patients with …

Y Zhang, X Wang, M Ye, Z Li, Y Zhuang, Q Yang… - Academic …, 2023 - Elsevier
Rationale and Objectives Stroke patients commonly face challenges during magnetic
resonance imaging (MRI) examinations due to involuntary movements. This study aims to …

Ultrafast T2 and T2* mapping using single‐shot spatiotemporally encoded MRI with reduced field of view and spiral out‐in‐out‐in trajectory

J Jin, Y Zhou, L Chen, Z Chen - Medical Physics - Wiley Online Library
Background T2 and T2* mapping are crucial components of quantitative magnetic
resonance imaging, offering valuable insights into tissue characteristics and pathology …