Results 151 to 160 of about 40,267 (242)
Single‐Breathhold 3D MR Elastography in the Liver, With Simultaneous R2* and PDFF Mapping
Purpose To develop a sequence for the rapid acquisition of MR elastography (MRE) parameters in 3D, with simultaneous measurement of proton‐density fat fraction (PDFF) and R2* for multiparametric assessment of liver disease. Methods The proposed sequence uses an interleaved motion‐encoding scheme to acquire 3D volumes of all motion encodings and wave ...
Donovan P Tripp +10 more
wiley +1 more source
ABSTRACT Purpose Ultrashort echo time (UTE) techniques are essential for the magnetic resonance imaging of short‐T2 signals. Current UTE techniques are time‐consuming and often require the acquisition of an inflexible volume. In this work, we implement new UTE sequences—differential single‐block presaturated UTE (δSB‐UTE) and differential multi‐block ...
Jason A. Reich +5 more
wiley +1 more source
ABSTRACT Purpose To evaluate a third‐order motion‐compensated spin echo (M3‐MCSE) sequence at multiple cardiac phases on a clinical 3 T MRI scanner with ultra‐high performance (UHP) gradients (200 mT/m), compared with stimulated echo acquisition mode (STEAM) and second‐order MCSE (M2‐MCSE) for cardiac diffusion tensor imaging (cDTI).
Ke Wen +8 more
wiley +1 more source
A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization. [PDF]
Zhang J +5 more
europepmc +1 more source
ABSTRACT This work addresses the challenge of bidirectional trajectory tracking in solar‐powered wheeled mobile robots (WMRs), considering the mechanical structure, actuator‐driver, and power stage subsystems. Notably, this is the first study to explicitly model and control the actuator‐driver subsystem within this context. The proposed solution relies
Benjamin Natanael Santiago‐Nogales +8 more
wiley +1 more source
Scale-Aware Edge-Preserving Full Waveform Inversion with Diffusion Filter for Crosshole Sensor Arrays. [PDF]
Yang J, He X, Chen H, Li J, Wang W.
europepmc +1 more source
LARGE SCALE RANDOMIZED LEARNING GUIDED BY PHYSICAL LAWS WITH APPLICATIONS IN FULL WAVEFORM INVERSION. [PDF]
Xie R, Li F, Wang Z, Song W.
europepmc +1 more source
Neural network with signal parameters featuring for near‐surface velocity model building
Abstract This study presents a method that integrates spectral recomposition (SR) with a neural network to improve near‐surface seismic analysis. The approach incorporates SR‐derived wavelet‐timing attributes into a fully convolutional network (FCN) to enhance the characterization of shallow subsurface structures. Field evaluation was conducted using S‐
Nelson Ricardo Coelho Flores Zuniga
wiley +1 more source
Asymmetric magma plumbing system beneath Axial Seamount based on full waveform inversion of seismic data. [PDF]
Yang J +8 more
europepmc +1 more source
Application of Time-Domain Full Waveform Inversion to Cross-Hole Radar Data Measured at Xiuyan Jade Mine, China. [PDF]
Liu S +5 more
europepmc +1 more source

