Panoramic X-ray (PX) provides a 2D picture of the patient's mouth in a panoramic view to help dentists observe the invisible disease inside the gum. However, it provides limited 2D information compared with cone-beam computed tomography (CBCT), another dental imaging method that generates a 3D picture of the oral cavity but with more radiation dose and a higher price. Consequently, it is of great interest to reconstruct the 3D structure from a 2D X-ray image, which can greatly explore the application of X-ray imaging in dental surgeries. In this paper, we propose a framework, named Oral-3D, to reconstruct the 3D oral cavity from a single PX image and prior information of the dental arch. Specifically, we first train a generative model to learn the cross-dimension transformation from 2D to 3D. Then we restore the shape of the oral cavity with a deformation module with the dental arch curve, which can be obtained simply by taking a photo of the patient's mouth. To be noted, Oral-3D can restore both the density of bony tissues and the curved mandible surface. Experimental results show that Oral-3D can efficiently and effectively reconstruct the 3D oral structure and show critical information in clinical applications, e.g., tooth pulling and dental implants. To the best of our knowledge, we are the first to explore this domain transformation problem between these two imaging methods.
翻译:泛光X光( PX) 提供了病人口腔的2D全景图, 帮助牙医观察口腔中的隐形疾病。 但是,它提供了有限的2D信息, 与CBCT(CBCT) 计算口腔X(CBCT) (CBCT) (CBCT) (CBCT) (CBCT) (CBCT) (CBCT) (CBCT) ) 相比,它提供了有限的2D信息, 这是另一种牙科成像(3D) 的3D 结构, 产生口腔腔的3D 图像, 但辐射剂量更大, 价格更高。 因此, 我们非常有兴趣用 2D X 射线图像重建3D 3D 结构, 这可以极大地探索牙科口腔手术中的X 成像 。 我们发现, 口腔的X 口腔中, 口腔的X 3D (Calople-3D) 和口腔结构中 的直径变形, 可以恢复3D 的密度, 并展示最佳的临床图层 。