Results 121 to 130 of about 6,102 (204)
ABSTRACT Purpose To extend localized quadratic (LQ) RF encoded spin‐echo imaging with acquisition and reconstruction strategies that improve efficiency and artifact robustness, positioning it as a practical alternative to 3D FSE for high‐resolution volumetric brain MRI.
Guruprasad Krishnamoorthy +2 more
wiley +1 more source
Training Deep Learning Based Dynamic MR Image Reconstruction Using Synthetic Fractals
ABSTRACT Purpose To investigate whether synthetically generated fractal data can be used to train deep learning (DL) models for dynamic MRI reconstruction, thereby avoiding the privacy, licensing, and availability limitations associated with cardiac MR training datasets.
Anirudh Raman +10 more
wiley +1 more source
Mapping perceived sentiments in university campuses with varied landscape metrics and climatic conditions. [PDF]
Yan Q, Sun Y.
europepmc +1 more source
ABSTRACT Purpose In the spinal cord (SC), multi‐echo gradient echo (ME‐GRE) increases gray (GM) and white matter (WM) contrast and improves sensitivity to lesions in people with multiple sclerosis (pwMS). However, SC ME‐GRE is susceptible to breathing‐induced field fluctuations, causing ghosting artifacts and signal loss.
Alicia E. Cronin +13 more
wiley +1 more source
An open, fully-processed data resource for studying mood and sleep variability in the developing brain. [PDF]
Brook JBH +35 more
europepmc +1 more source
ABSTRACT Purpose Reproducibility in MRI is limited by variability in data acquisition, formatting, and reconstruction across sites and vendors. This work aimed to mitigate these challenges through an open‐source, vendor‐independent workflow originally developed for the 2023–24 ISMRM Repeat It with Me: Reproducibility Team Challenge.
Qingping Chen +12 more
wiley +1 more source
Wavenumber-Explicit <i>hp</i>-FEM Analysis for Maxwell's Equations with Impedance Boundary Conditions. [PDF]
Melenk JM, Sauter SA.
europepmc +1 more source
Deep Learning Improves Robustness of Voxelwise Kinetic Modeling for Hyperpolarized Carbon‐13 MRI
ABSTRACT Purpose To evaluate whether deep learning improves the robustness of voxelwise kinetic parameter estimation from hyperpolarized (HP) 13C MRI compared with nonlinear least‐squares (NLLS) fitting. Methods A hybrid neural network (NN) was trained on synthetic pyruvate/lactate time courses generated from an open‐system two‐compartment HP 13C ...
Kofi Deh +5 more
wiley +1 more source
Approximation of Classical Two-Phase Flows of Viscous Incompressible Fluids by a Navier-Stokes/Allen-Cahn System. [PDF]
Abels H, Fischer J, Moser M.
europepmc +1 more source
ABSTRACT Purpose To develop, optimize, and characterize a respiratory motion‐resolved free‐running isotropic 3D carotid vessel wall T1 mapping technique named CARISMAT1C. Methods An inversion‐recovery gradient‐echo free‐running pulse sequence with interleaved double flip‐angle (2FA) was implemented, and an extended‐phase‐graph dictionary was used to ...
Isabel Montón Quesada +7 more
wiley +1 more source

