1) 3D Reconstruction of Head and Trunk Skeletons and Soft Tissue Organs: Using full-body MRI and DEXA data from the UK Biobank, we plan to reconstruct the 3D shapes of the head and trunk skeletons, as well as major soft tissue organs (such as the lungs, liver, heart, spleen, artery, etc.).
2) Segmentation and Reconstruction of Brain Regions and Blood Vessels: Develop AI-based tools to automatically segment and reconstruct brain regions and blood vessels by analyzing structural MRI, MR angiography (MRA), ultrasound imaging (US), and computed tomography angiography (CTA) data. This will aid in identifying key brain areas, optimizing neurosurgical planning, and providing precise navigation support for cerebrovascular surgeries.
3) Generation of Internal Organ and Tissue Shapes Based on RGB Images: By analyzing the correlation between the shape of the skin surface and internal organs and tissues, we will develop a system for generating 3D shapes of internal organs and tissues based on RGB images. This system will utilize deep learning and advanced image processing techniques to infer the shapes of internal organs and tissues from external images.