HICT: HIGH-PRECISION 3D CBCT RECONSTRUCTION FROM A SINGLE X-RAY
wen ma, Ziyang Wang, Feng Yang, Zuozhu Liu
Abstract
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.
BibTeX
@inproceedings{icassp2026_hicthighprecisio,
title = {HICT: HIGH-PRECISION 3D CBCT RECONSTRUCTION FROM A SINGLE X-RAY},
author = {wen ma and Ziyang Wang and Feng Yang and Zuozhu Liu},
booktitle = {ICASSP 2026},
year = {2026}
}