Research Focus
We design and build advanced micro-CT and preclinical photon‑counting CT (PCCT) systems and develop reconstruction/analysis methods that extend CT from anatomy toward functional imaging and theranostics. Our work integrates hardware innovation, compressed‑sensing & deep learning, and quantitative imaging biomarkers for cardiac, neuro, and cancer studies. Our goal is to bridge quantitative preclinical imaging with human translation, enabling precision diagnostics and therapeutic innovation.
Current Directions
- Photon‑Counting & Spectral CT: multi-energy CT and material decomposition .
- 5D (3D + Time + Energy) CT: combined spectral-temporal imaging with deep learning-based denoising/reconstruction algorithms.
- Functional CT and Theranostics: nanoparticles (e.g. iodine, gold, barium) as contrast agents for quantitative CT imaging and theranostics .
- Multi-organ Age: CT-based and multimodal models for predicting organ-specific biological age.
- Digital Twin / Simulation: virtual preclinical CT pipelines using realistic digital phantoms and AI to accelerate design and validation.
- Translational Imaging Research: co-clinical imaging trials linking preclinical and human studies.
