AV Dimov, J Li, TD Nguyen, AG Roberts… - Journal of Magnetic …, 2023 - Wiley Online Library
Magnetic materials in tissue, such as iron, calcium, or collagen, can be studied using quantitative susceptibility mapping (QSM). To date, QSM has been overwhelmingly applied …
Deep learning (DL) has emerged as a powerful tool for accelerated MRI reconstruction, but these methods often necessitate a database of fully-sampled measurements for training …
In this investigative study, the electro‐magneto hydrodynamic (EMHD) influence on a nano viscous fluid model is scrutinized by designing an artificial neural network (ANN) paradigm …
Quantitative susceptibility mapping (QSM) involves acquisition and reconstruction of a series of images at multi-echo time points to estimate tissue field, which prolongs scan time and …
Muscle fat infiltration (MFI) has been widely reported across cervical spine disorders. The quantification of MFI requires time-consuming and rater-dependent manual segmentation …
Objective This study combines a deep image prior with low-rank subspace modeling to enable real-time (free-breathing and ungated) functional cardiac imaging on a commercial …
P Daudé, T Roussel, T Troalen, P Viout… - Magnetic …, 2024 - Wiley Online Library
Purpose To propose a standardized comparison between state‐of‐the‐art open‐source fat‐ water separation algorithms for proton density fat fraction (PDFF) and R 2* R _2^ ∗ …
R Jafari, RKG Do, MD LaGratta, M Fung… - NMR in …, 2023 - Wiley Online Library
The purpose of the current study was to develop a deep learning technique called Golden‐ angle RAdial Sparse Parallel Network (GRASPnet) for fast reconstruction of dynamic …
Purpose To enable a fast and automatic deep learning–based QSM reconstruction of tissues with diverse chemical shifts, relevant to most regions outside the brain. Methods A UNET …