Review and consensus recommendations on clinical APT‐weighted imaging approaches at 3T: application to brain tumors
Amide proton transfer‐weighted (APTw) MR imaging shows promise as a biomarker of brain
tumor status. Currently used APTw MRI pulse sequences and protocols vary substantially …
tumor status. Currently used APTw MRI pulse sequences and protocols vary substantially …
Deep learning in magnetic resonance image reconstruction
Magnetic resonance (MR) imaging visualises soft tissue contrast in exquisite detail without
harmful ionising radiation. In this work, we provide a state‐of‐the‐art review on the use of …
harmful ionising radiation. In this work, we provide a state‐of‐the‐art review on the use of …
Multi-institutional collaborations for improving deep learning-based magnetic resonance image reconstruction using federated learning
Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled
data is important in many clinical applications. In recent years, deep learning-based …
data is important in many clinical applications. In recent years, deep learning-based …
Accelerating CEST imaging using a model‐based deep neural network with synthetic training data
Purpose To develop a model‐based deep neural network for high‐quality image
reconstruction of undersampled multi‐coil CEST data. Theory and Methods Inspired by the …
reconstruction of undersampled multi‐coil CEST data. Theory and Methods Inspired by the …
Anatomic and molecular MR image synthesis using confidence guided CNNs
Data-driven automatic approaches have demonstrated their great potential in resolving
various clinical diagnostic dilemmas in neuro-oncology, especially with the help of standard …
various clinical diagnostic dilemmas in neuro-oncology, especially with the help of standard …
Attention-Based MultiOffset Deep Learning Reconstruction of Chemical Exchange Saturation Transfer (AMO-CEST) MRI
One challenge of chemical exchange saturation transfer (CEST) magnetic resonance
imaging (MRI) is the long scan time due to multiple acquisitions of images at different …
imaging (MRI) is the long scan time due to multiple acquisitions of images at different …
Amide proton transfer-weighted imaging of the abdomen: Current progress and future directions
L Sheng, E Yuan, F Yuan, B Song - Magnetic Resonance Imaging, 2024 - Elsevier
The chemical exchange saturation transfer technique serves as a valuable tool for
generating in vivo image contrast based on the content of various proton groups, including …
generating in vivo image contrast based on the content of various proton groups, including …
Reference-based magnetic resonance image reconstruction using texture transformer
Deep Learning (DL) based methods for magnetic resonance (MR) image reconstruction
have been shown to produce superior performance in recent years. However, these …
have been shown to produce superior performance in recent years. However, these …
Accelerating Chemical Exchange Saturation Transfer Imaging Using a Model-based Deep Neural Network With Synthetic Training Data
Purpose: To develop a model-based deep neural network for high-quality image
reconstruction of undersampled multi-coil chemical exchange saturation transfer (CEST) …
reconstruction of undersampled multi-coil chemical exchange saturation transfer (CEST) …
Improved MR image reconstruction using federated learning
Fast and accurate reconstruction of magnetic resonance (MR) images from under-sampled
data is important in many clinical applications. In recent years, deep learning-based …
data is important in many clinical applications. In recent years, deep learning-based …