CBCT-guided 3D Dental Structure Reconstruction from Panoramic X-ray: A
Preprocessing Pipeline
Abstract
Panoramic Radiography and Cone Beam Computed Tomography (CBCT) are
the most used imaging techniques for implant treatment and oral surgery.
However, it cannot be used frequently due to the high cost and radiation
exposure of CBCT. Whereas Panoramic x-rays do not provide the high
dimensional information necessary for planning surgery. Our research
aims to produce an automated method for reconstructing a 3D dental
structure from a single panoramic X-ray. This paper presents a robust
preprocessing pipeline of CBCT data which are exploited to train a deep
learning model for reconstructing the 3D dental structure from a single
2D panoramic X-ray image. It includes a method of generating a pair of
synthetic panoramic X-rays and the corresponding flattened 3D volume as
ground truth from CBCT data.
