From the 1 of 7 linked papers with an AI index.
7 papers
A Wireless Volumetric Metamaterial Resonator for Breast MRI
Yuhan Liu, Xia Zhu, Christina A. LeBedis +2
The paper introduces a wireless volumetric metamaterial resonator that turns a standard spine coil into a high‑performance breast MRI receiver, achieving significantly higher centr…
A Wireless Reconfigurable Metasurface for Enhanced Parallel Magnetic Resonance Imaging
Yuhan Liu, Xia Zhu, Ke Wu +4
Modern magnetic resonance imaging (MRI) relies on application-specific multi-channel receive coils to achieve high performance, but these coils are typically costly, rigid, and dif…
Circularly polarized metamaterial cage for homogeneous signal-to-noise ratio enhancement in magnetic resonance imaging
Yuhan Liu, Xia Zhu, Ke Wu +2
The signal-to-noise ratio (SNR) in magnetic resonance imaging (MRI) governs the quality of signal detection and directly impacts the clarity and reliability of the acquired images.…
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited Data
Guoyao Shen, Yancheng Zhu, Mengyu Li +6
Recent advances in MRI reconstruction have demonstrated remarkable success through deep learning-based models. However, most existing methods rely heavily on large-scale, task-spec…
Magnetic Resonance Image Processing Transformer for General Accelerated Image Reconstruction
Guoyao Shen, Mengyu Li, Stephan Anderson +2
Recent advancements in deep learning have enabled the development of generalizable models that achieve state-of-the-art performance across various imaging tasks. Vision Transformer…
Learning to Reconstruct Accelerated MRI Through K-space Cold Diffusion without Noise
Guoyao Shen, Mengyu Li, Chad W. Farris +2
Deep learning-based MRI reconstruction models have achieved superior performance these days. Most recently, diffusion models have shown remarkable performance in image generation,…