Targeting related majors such as Biomedical Engineering, Mechanics, Mathematics, Acoustics, Mechanical Engineering, Physics, Computer Science, and Electronic Information, the research involves:

• AI for Imaging: Deeply optimize signal acquisition strategies and image reconstruction algorithms for Ultrasound CT, significantly improving imaging quality and reconstruction speed, and breaking through the accuracy bottlenecks of traditional physical models in complex tissue environments.

• Multimodal, Multi-scale Tissue Parameter Imaging: Focus on interdisciplinary fusion research involving mechanics, acoustics, and optics to discover novel biomechanical or photoacoustic biomarkers, deeply reveal the correlation between tissue structure and pathological mechanisms at the imaging level, and provide richer quantitative indicators and decision support for clinical diagnosis, efficacy evaluation, and disease subtyping.