A5033555800- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Neonatal and fetal brain pathology
- Gaussian Processes and Bayesian Inference
- Electron Spin Resonance Studies
- Medical Imaging Techniques and Applications
- Lanthanide and Transition Metal Complexes
- Advanced X-ray Imaging Techniques
- Advanced Measurement and Detection Methods
- Image Enhancement Techniques
- Cerebrospinal fluid and hydrocephalus
- Satellite Image Processing and Photogrammetry
- Neonatal Respiratory Health Research
- MRI in cancer diagnosis
Shenzhen Institutes of Advanced Technology
2023-2025
Chinese Academy of Sciences
2023-2025
University of Chinese Academy of Sciences
2025
China Southern Power Grid (China)
2024
ABSTRACT In clinical practice, particularly in neurology assessments, imaging multiparametric MR images with a single‐sequence scan is often limited by either insufficient contrast or the constraints of accelerated techniques. A novel single 3D method, incorporating Wave‐CAIPI and MULTIPLEX technologies named WAMP, has been developed for rapid comprehensive parametric diagnostic applications. Featuring hybrid design that includes wave encoding, CAIPIRINHA sampling pattern, dual time...
Long scan time significantly hinders the widespread applications of three-dimensional multi-contrast cardiac magnetic resonance (3D-MC-CMR) imaging. This study aims to accelerate 3D-MC-CMR acquisition by a novel method based on score-based diffusion models with self-supervised learning. Specifically, we first establish mapping between undersampled k-space measurements and MR images, utilizing Bayesian reconstruction network. Secondly, develop joint model images capture their inherent...
Recently, diffusion models have shown considerable promise for MRI reconstruction. However, extensive experimentation has revealed that these are prone to generating artifacts due the inherent randomness involved in images from pure noise. To achieve more controlled image reconstruction, we reexamine concept of interpolatable physical priors k-space data, focusing specifically on interpolation high-frequency (HF) data low-frequency (LF) data. Broadly, this insight drives a shift generation...
In the field of parallel imaging (PI), alongside image-domain regularization methods, substantial research has been dedicated to exploring $k$-space interpolation. However, interpretability these methods remains an unresolved issue. Furthermore, approaches currently face acceleration limitations that are comparable those experienced by methods. order enhance and overcome limitations, this paper introduces interpretable framework unifies both interpolation techniques grounded in physical...
Motivation: Despite white matter perivascular spaces visual grades in preterm was not different from term infants, whether the glymphatic system function differently with and infants remains unclear. Goal(s): Exploring development of very (VP) comparing infants. Approach: The diffusion along space index (ALPS) used to evaluate via tensor images (DTI). Results: DTI-ALPS significantly lower VP neonates than at equivalent age (TEA) or neonates. However, TEA found differences Impact: developing...