HICT: High-precision 3D CBCT reconstruction from a single X-ray

๐Ÿ“… 2026-04-01
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๐Ÿค– AI Summary
This study addresses the limitations of conventional cone-beam computed tomography (CBCT)โ€”notably high radiation exposure and costโ€”and the inability of single panoramic X-rays to yield geometrically consistent, high-fidelity 3D dental reconstructions. To overcome these challenges, the authors propose HiCT, a two-stage framework that first leverages a video diffusion model to synthesize geometrically consistent multi-view projections from a single panoramic X-ray, followed by high-fidelity CBCT reconstruction via a ray-based dynamic attention network integrated with an X-ray sampling strategy. This work pioneers the integration of video diffusion models with ray-wise dynamic attention mechanisms and introduces XCT, a large-scale paired dataset enabling robust training and validation. Experimental results demonstrate state-of-the-art performance on clinically relevant metrics, achieving accurate, geometrically consistent CBCT reconstructions with strong potential for clinical translation.
๐Ÿ“ 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.
Problem

Research questions and friction points this paper is trying to address.

3D CBCT reconstruction
single X-ray
geometric inconsistency
low-dose imaging
dental imaging
Innovation

Methods, ideas, or system contributions that make the work stand out.

HiCT
video diffusion model
ray-based dynamic attention
single-view CBCT reconstruction
XCT dataset
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