Results 161 to 170 of about 10,018,380 (290)

Beyond Directions: Symmetry‐Aware Rotation Sets for Triaxial Diffusion Encoding by Geometric Filter Optimization

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2489-2504, November 2026.
ABSTRACT Purpose To improve the accuracy of diffusion‐weighted powder average signals for diffusion encoding with arbitrary b‐tensors. Methods We identify an intrinsic dihedral (D2) symmetry of diffusion signals for arbitrary diffusion encoding, which defines their natural signal space (a quotient of 3D rotations). Based on this, we propose a method to
Sune Nørhøj Jespersen, Filip Szczepankiewicz   +1 more
wiley   +1 more source

The finite element neural network method to simulate two dimensional partial differential equations and perform parameter identification. [PDF]

Sci Rep
Abda M, Berthet L, Hamedi M, Hibatullah D, Piollet E, Blake C, Blais B, Gosselin FP.   +7 more
europepmc   +1 more source

Enhanced Transmit Efficiency of a Loop Array Combined With Out‐of‐Phase Passive Dipoles for Thoracic Spinal Cord MRI at 7T

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2539-2552, November 2026.
ABSTRACT Purpose The design of radiofrequency (RF) coils tailored for the target anatomy is necessary to overcome the transmit field homogeneity and penetration issues at Ultra‐High‐Field (UHF). For the spinal cord, the optimal design has not yet been determined. This work intends to demonstrate the added value of a pair of passive dipoles placed under
Hugo Amat, Marc Dubois, Aurelien Destruel, Sajad Hosseinnezhadian, Djamel Berrahou, Charles Betemps, Amira Trabelsi, David Bendahan, Stefan Enoch, Virginie Callot, Redha Abdeddaim   +10 more
wiley   +1 more source

Convergence of the Immersed Interface Method in Linear Elasticity. [PDF]

Mathematica (N Y)
Asghar S, Peng Q, Javierre E, Vermolen F.   +3 more
europepmc   +1 more source

Edge‐Based Discretizations on Triangulations in Any Dimension, With Special Attention to Four‐Dimensional Space

International Journal for Numerical Methods in Fluids, Volume 98, Issue 10, Page 1143-1164, October 2026.
This article provides important geometric formulas for node‐centered, edge‐based schemes in any number of dimensions. These formulas are noteworthy, as they do not require the explicit formation of dual regions. We prove several key geometric results, with a particular focus on the four‐dimensional case, due to potential space‐time applications ...
Nicholas Tufillaro, David M. Williams, Hiroaki Nishikawa   +2 more
wiley   +1 more source

An optimal Petrov-Galerkin framework for operator networks. [PDF]

Comput Methods Appl Mech Eng
Charles P, Ray D, Yu Y, Prins J, Melchers H, Abdelmalik MRA, Cochran J, Oberai AA, Hughes TJR, Larson MG.   +9 more
europepmc   +1 more source

Simultaneous 3‐D Adiabatic T1ρ, T2*, and Quantitative Susceptibility Mapping for Characterization of Myocardial Infarction in Ex Vivo Mouse

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
This study combines segmented T1ρ preparation into a 3‐D gradient‐echo sequence for simultaneous quantitative susceptibility, T2*, and T1ρ mapping of infarcted mouse hearts ex vivo. The method enabled assessment of T1ρ and T2* relaxation time maps and magnetic susceptibility, with ischemic regions clearly identified by all contrasts and consistent with
Iida Räty, Olli Nykänen, Sanna Kettunen, Svetlana Laidinen, Anna‐Kaisa Ruotsalainen, Mikko J. Nissi, Elias Ylä‐Herttuala   +6 more
wiley   +1 more source

Efficient Inference in First Passage Time Models. [PDF]

Stat Comput
Liu S, Fengler A, Frank MJ, Harrison MT.
europepmc   +1 more source

A Machine Learning Approach That Measures Extracellular pH Within an In Vivo Tumor Model Using acidoCEST MRI

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
Machine learning models, particularly RFR (random forest regression), provide accurate and computationally efficient tumor pHe estimation from acidoCEST MRI without requiring auxiliary parametric maps. RFR achieved comparable performance to traditional Bloch fitting (RMSE: 0.020 vs.
Alia Khaled, Chetan B. Dhakan, Lucas B. McCullum, Jorge de la Cerda, F. William Schuler, Tianzhe Li, Mark D. Pagel   +6 more
wiley   +1 more source

Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer

Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.
ABSTRACT We consider a multidimensional polychromatic radiative transfer (RT) problem, accounting for scattering processes in a general form, that is, anisotropic (dipole) scattering with partial frequency redistribution. Given a discrete ordinates (SN$$ {S}_N $$) discretization, we report the corresponding matrix structures, depending on the model and
Pietro Benedusi, Simone Riva, Luca Belluzzi, Stefano Serra‐Capizzano   +3 more
wiley   +1 more source