Results 141 to 150 of about 13,919 (263)

A Magnetic Resonance Fingerprinting Approach for Simultaneous T1‐ and PRFS‐Based 3D MR‐Thermometry

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1274-1282, September 2026.
ABSTRACT Purpose To evaluate a three dimensional dual echo magnetic resonance fingerprinting sequence for simultaneous proton resonance frequency shift (PRFS) and T1 thermometry during microwave ablation with T1 improving robustness near gas bubble induced susceptibility changes while PRFS provides high precision elsewhere.
Moritz Gutt, Dominik Horstmann, Othmar Belker, Simon Schröer, Daniel Düx, Frank Wacker, Marcel Gutberlet, Bennet Hensen   +7 more
wiley   +1 more source

Dynamic Transformer Based on Wavelet and Diffusion Prior Guidance for Cardiac Cine MRI Reconstruction. [PDF]

Sensors (Basel)
Zhao B, Lyu J.
europepmc   +1 more source

DynaTOF: Time‐Resolved Noncontrast Cerebral MR Angiography Using Spatially Modulated RF Saturation

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1134-1147, September 2026.
ABSTRACT Purpose To develop a time‐resolved extension of three‐dimensional time‐of‐flight MR angiography, termed Dynamic TOF (DynaTOF), that exploits intrinsic RF saturation behavior to enable noncontrast visualization of cerebrovascular hemodynamics.
Naoyuki Takei, Keita Fujii, Xucheng Zhu, Yuichi Suzuki, Satoru Miyawaki, Motoyuki Umekawa, Satoshi Koizumi, Tetsuya Wakayama, Shiori Amemiya, Osamu Abe   +9 more
wiley   +1 more source

mRNALocator-imb: an imbalance-tolerant ensemble framework integrating random forest and transformer for mRNA subcellular localization prediction. [PDF]

Front Genet
Hu J, Liu H, Wang L, Wu H.
europepmc   +1 more source

DeepRelaxo: Fast Mono‐Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self‐Supervised Deep Learning

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1293-1302, September 2026.
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima, Zhuang Xiong, Alan H. Wilman, Hongfu Sun   +3 more
wiley   +1 more source

Accelerating MRI With Longitudinally-Informed Latent Posterior Sampling. [PDF]

Magn Reson Med
Urman Y, Shah Z, Kumar A, Soares BP, Setsompop K.   +4 more
europepmc   +1 more source

Time‐Conditioned Zero‐Shot Self‐Supervised Reconstruction for Accelerated 3D Ultra‐Low‐Field MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1303-1312, September 2026.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI provides a cost‐effective, portable imaging option but has relatively low SNR and long acquisition times compared to standard clinical scans. This study presents a time‐conditioned zero‐shot self‐supervised learning image reconstruction framework (ULF‐ZS‐SSL) to accelerate 3D‐acquired single‐coil ULF MRI ...
Mart W. J. van Straten, Beatrice Lena, Chloé Najac, Ruben van den Broek, Peter Börnert, Andrew Webb, Yiming Dong   +6 more
wiley   +1 more source

A bearing fault diagnosis method for complex system based on improved extended belief rule base. [PDF]

Sci Rep
Yan X, Li N, Nan S, Yu Y, Dai R.
europepmc   +1 more source

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

Rare event detection by progressive clustering undersampling. [PDF]

PLoS One
Abuzeid A, Jolkver E.
europepmc   +1 more source