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3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction by Li, Xiaoshuang; Huang, Zimo; Meng, Mingyuan; Delamare, Eduardo; Feng, Dagan; Bi, Lei; Sheng, Bin; Jiang, Lingyong; Li, Bo; Kim, Jinman is a scholarly article available to read on EtoBox.

What is 3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction about?

Panoramic X-ray (PX) is a prevalent modality in dentistry practice owing to its wide availability and low cost. However, as a 2D projection of a 3D structure, PX suffers from anatomical information loss and PX diagnosis is limited compared to that with 3D imaging modalities. 2D-to-3D reconstruction methods have been explored for the ability to synthesize the absent 3D anatomical information from 2D PX for use in PX image analysis. However, there are challenges in leveraging such 3D synthesized reconstructions. First, inferring 3D depth from 2D images remains a challenging task with limited accuracy. The second challenge is the joint analysis of 2D PX with its 3D synthesized counterpart, with the aim to maximize the 2D-3D synergy while minimizing the errors arising from the synthesized image. In this study, we propose a new method termed 3DPX - PX image analysis guided by 2D-to-3D reconstruction, to overcome these challenges. 3DPX consists of (i) a novel progressive reconstruction network to improve 2D-to-3D reconstruction and, (ii) a contrastive-guided bidirectional multimodality alignment module for 3D-guided 2D PX classification and segmentation tasks. The reconstruction network

Author

Li, Xiaoshuang; Huang, Zimo; Meng, Mingyuan; Delamare, Eduardo; Feng, Dagan; Bi, Lei; Sheng, Bin; Jiang, Lingyong; Li, Bo; Kim, Jinman

Published

2024

Language

EN