Results 171 to 180 of about 13,553 (263)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1323-1332, September 2026.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

Efficient image steganography method using contourlet transform and geometric-based pixel encryption for enhanced security. [PDF]

Sci Rep
Kumar R, Singhal S, Sharma VK.
europepmc   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1219-1234, September 2026.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time. [PDF]

NMR Biomed
van den Berg DM, Varriale R, Ferrando F, Traverso P, Balbi L, Belgiorno G, Beekman K, Kox L, Strijkers GJ, Caan MWA.   +9 more
europepmc   +1 more source

Concurrent Four‐Dimensional Dynamic MRA and Perfusion Imaging Using Dual‐Module Arterial Spin Labeling MRI With Stack‐Of‐Stars Golden‐Angle Radial Acquisition

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
A dual‐module ASL technique is proposed to obtain both 4D MRA and cerebral perfusion images within a single scan. Both time‐resolved MRA with high spatiotemporal resolution and perfusion‐weighted images with good contrast were successfully obtained from a single scan using the proposed dual‐module ASL technique, suggesting that it could be a ...
Tianrui Zhao, Jianing Tang, Sarah J. Moum, Yining He, Ziyi Huang, Ayaz Khan, Ali Shaibani, Lirong Yan   +7 more
wiley   +1 more source

Miller-Ross-functions coefficients and kernel-based CT-scan enhancement technique. [PDF]

Sci Rep
Murugusundaramoorthy G, Nalliah M.
europepmc   +1 more source

Intra‐MRI Head Motion Tracking and Correction: A Quantitative In Vivo Evaluation Framework

NMR in Biomedicine, Volume 39, Issue 9, September 2026.
This framework introduces, for the first time, an in vivo quantification of intra‐MRI head tracking accuracy and precision. By comparing a markerless optical system (MOS) and fat‐signal navigators (FatNav) against a rigid registration‐based reference standard, it successfully detects subtle, axis‐specific performance differences and strengths between ...
Zakaria Zariry, Franck Lamberton, Robert Frost, Thomas Gaass, Thomas Troalen, Holly Rayson, Jakob M. Slipsager, Nathalie Richard, Andre van der Kouwe, James Bonaiuto, Bassem Hiba   +10 more
wiley   +1 more source

Implicit Neural Representation with Dead-Free Linear Unit for Remote Sensing Images. [PDF]

Sensors (Basel)
Lu Y, Lu C, Han D, Kim D, Zhang M, Qureshi R, Qin C.   +6 more
europepmc   +1 more source

Physically Consistent Reconstruction of Sparse Scatterometer Ocean Surface Wind Fields Based on Physics‐Guided Generative Learning

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Accurate and timely reconstruction of sea surface wind fields from available scatterometer‐derived observations is essential for rapid‐response forecasting and operational oceanography. In this study, we explore a novel physics‐guided generative learning network to reconstruct sea surface wind vector fields directly from sparse scatterometer ...
Ran Bo, Zengliang Zang, Zeming Zhou, Pinglv Yang, Huadong Du, Xiaofeng Zhao, Qian Li, Yangfan Hu   +7 more
wiley   +1 more source

A PSO-optimized self-supervised convolutional network for robust image watermark removal. [PDF]

Sci Rep
Javdani Gandomani T, Karimi M, Mosleh M, Dashti M.   +3 more
europepmc   +1 more source