Results 61 to 70 of about 24,580 (172)

Faster and More Robust CK Reaction Rate Estimation at 3T Using Acquisition‐Weighted 31P Cardiac 1D‐MRSI With Compartment‐Based Reconstruction

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Quantification of the creatine kinase (CK) forward reaction rate (kf) in the human heart using phosphorus magnetic resonance spectroscopy is clinically important; however, it is limited by long acquisition times, operator subjectivity in analysis, and potential skeletal muscle contamination.
Aaron Axford, Iveta Pajanová, William D. Watson, Andrew C. Tyler, Roshan Xavier, Ferenc E. Mózes, Oliver J. Rider, Damian J. Tyler, Ladislav Valkovič   +8 more
wiley   +1 more source

OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS

Computer Graphics Forum, EarlyView.
Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li, Qi Chen, Denis Kalkofen, Hsiang‐Ting Chen   +3 more
wiley   +1 more source

EM-Based Channel Estimation Algorithms for OFDM

EURASIP Journal on Advances in Signal Processing, 2004
Estimating a channel that is subject to frequency-selective Rayleigh fading is a challenging problem in an orthogonal frequency division multiplexing (OFDM) system.
Ma Xiaoqiang, Kobayashi Hisashi, Schwartz Stuart C   +2 more
doaj   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

Mathematical Finance, EarlyView.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici, Gianluca Fusai, Anna Maria Gambaro, Daniele Marazzina   +3 more
wiley   +1 more source

Plant‐protein supplementation improves thermoregulatory responses and ameliorates markers of intestinal damage during exercise in the heat

Experimental Physiology, EarlyView.
Abstract Exercise in the heat often causes gastrointestinal (GI) disturbances, which can impair performance. Single amino acid supplementation can attenuate gut damage and enhance exercise tolerance; however, the effectiveness of innate amino acid blends from plant‐based proteins remains underexplored.
Robyn Aitkenhead, Mark Waldron, Gillian E. Conway, Katy Horner, Shane M. Heffernan   +4 more
wiley   +1 more source

A non-data-aided SNR estimator based on maximum likelihood method for communication between orbiters

EURASIP Journal on Wireless Communications and Networking, 2020
Signal-to-noise ratio (SNR) is an important metric for performance assessment in numerous scenerios. In order to ensure the reliability and effectiveness of the system performance, plenty of situations require the information of SNR estimate. At the same
Zezhou Sun, Xin Gong, Fan Lu
doaj   +1 more source

Quantitative Diffusion and T2 Mapping Using RF‐Modulated Phase‐Based Gradient Echo Imaging

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 49-65, July 2026.
ABSTRACT Purpose To introduce and evaluate the feasibility of a novel RF‐phase modulated gradient echo (GRE) method for quantitative diffusion MRI, aimed at mitigating geometric distortion and enabling high‐resolution 3D quantitative diffusion/T2 mapping as a complementary alternative to conventional DWI.
Daiki Tamada, Ali Pirasteh, David F. Jarrard, Diego Hernando, Scott B. Reeder   +4 more
wiley   +1 more source

Mach-Zehnder Interferometry at the Heisenberg Limit with coherent and squeezed-vacuum light

, 2007
We show that the phase sensitivity $\Delta \theta$ of a Mach-Zehnder interferometer fed by a coherent state in one input port and squeezed-vacuum in the other one is i) independent from the true value of the phase shift and ii) can reach the Heisenberg ...
Augusto Smerzi, C. W. Helstrom, H. J. Kimble, L. Mandel, Luca Pezzé, M. O. Scully, S. M. Barnett   +6 more
core   +1 more source

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 387-402, July 2026.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source

Optimization of Diffusion MRI With Consideration of the Signal Decay in Biological Tissues

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 460-468, July 2026.
ABSTRACT Purpose Devising methodology to characterize and optimize acquisition schemes for biological tissues, such as the prostate, that produce model‐based synthetic diffusion‐weighted images and derived model parameters with predictable SNR improvement. Methods The averaging effect (AE) in synthetic diffusion‐weighted images obtained through fitting
Stefan Kuczera, Stephan E. Maier
wiley   +1 more source