HICT: High-precision 3D CBCT reconstruction from a single X-ray
This addresses the accessibility issue of dental imaging for patients by providing a low-dose alternative to CBCT, though it appears to be an incremental improvement on existing reconstruction methods.
The paper tackles the problem of reconstructing 3D dental CBCT images from a single low-dose panoramic X-ray to reduce radiation exposure and cost, achieving state-of-the-art performance with accurate and geometrically consistent results.
Accurate 3D dental imaging is vital for diagnosis and treatment planning, yet CBCT's high radiation dose and cost limit its accessibility. Reconstructing 3D volumes from a single low-dose panoramic X-ray is a promising alternative but remains challenging due to geometric inconsistencies and limited accuracy. We propose HiCT, a two-stage framework that first generates geometrically consistent multi-view projections from a single panoramic image using a video diffusion model, and then reconstructs high-fidelity CBCT from the projections using a ray-based dynamic attention network and an X-ray sampling strategy. To support this, we built XCT, a large-scale dataset combining public CBCT data with 500 paired PX-CBCT cases. Extensive experiments show that HiCT achieves state-of-the-art performance, delivering accurate and geometrically consistent reconstructions for clinical use.