An Algorithm for Automatically Extracting Dental Arch curve

Abstract

Dental cone beam CT (CBCT) scans, due to their low radiation dose, are now widely used in the medical diagnosis of patients’ oral cavity. The reconstruction of a panoramic view of the dental arch from the scanned CBCT data facilitates the dentist’s observation of the patient’s oral condition. The most important technique for reconstructing the dental arch panorama is the extraction of the dental arch curve accurately. The existing method is to rely on the experience of the dentist to manually connect the dental arch curve, or use techniques related to threshold segmentation to extract dental arch curve. These methods rely on the experience of dentists on the one hand. On the other hand, when there are interferences such as implants, metal tubes, braces or missing teeth in the patient’s mouth, the threshold calculation will be wrong. Based on this, this article starts with the histogram of CBCT data, and proposes a highly robust and fully automatic dental arch curve extraction method. In the actual experiment, the dental arch curves of 40 different patients were extracted, and all the dental arch curves can be accurately and automatically extracted, thus verifying the effectiveness of the proposed algorithm.

DeAPIR: Efficient and Enhanced Dental Arch-Guided Panoramic Image Reconstruction from CBCT Data

“…Various algorithms have been developed to automatically extract precise dental arches, but their accuracy diminishes in the presence of missing teeth and metal artifacts in the CBCT image [13]. Severe metal artifacts can persist in the panoramic image despite setting an ideal dental arch, ultimately reducing the panoramic image's quality [14]. In their work [14], the authors employed a binary thresholding technique followed by morphological operations on the teeth slice section to accurately extract the dental arch curve from the CBCT data.…”

“…Severe metal artifacts can persist in the panoramic image despite setting an ideal dental arch, ultimately reducing the panoramic image's quality [14]. In their work [14], the authors employed a binary thresholding technique followed by morphological operations on the teeth slice section to accurately extract the dental arch curve from the CBCT data. While these methods effectively address the issue of missing teeth sections, they have the limitation of a shortened panoramic view, which not only misses the wisdom teeth but also the TMJ bones in their panoramic view.…”

A Fast Automatic Reconstruction Method for Panoramic Images Based on Cone Beam Computed Tomography

“…Chanwimaluang et al [18] used a polynomial equation to fit the dental arch to generate a panoramic image from the dental arch curve. After that, more and more studies used different curves and control points [19,20] to fit the dental arch more accurately. To determine the shape of the dental arch in different patients, Bae et al [21] used tooth position-controlled cubic B-splines to successfully fit different patient arch shapes.…”