Our laboratory utilizes advanced magnetic resonance (MR) imaging techniques, including Magnetic Resonance Spectroscopic Imaging (MRSI), Arterial Spin Labeling (ASL), Diffusion Tensor Imaging (DTI), and Perfusion-weighted MRI, to characterize the anatomical, physiological, and biochemical markers of brain tumors and neurodegenerative diseases. By integrating these imaging modalities with machine learning and deep learning, we aim to enhance image resolution, speed up clinical workflows, and develop high-precision quantitative molecular imaging.

Our research goes beyond image acquisition; we also focus on developing robust modeling methods, generating parametric maps, and creating user-friendly analysis interfaces. To ensure diagnostic accuracy, we design specialized phantoms that replicate complex brain chemistry and structural anomalies for thorough validation.

Key Topics of Focus

• Magnetic Resonance Imaging

• Magnetic Resonance Spectroscopic Imaging

• Parallel Imaging

• Arterial Spin Labeling

• Diffusion Tensor Imaging

• Perfusion-weighted Imaging

• Quantitative Magnetic Resonance Imaging

• Functional Magnetic Resonance Imaging

• Machine Learning

• Deep Learning

• Radiomics