Automatic dental arch detection and panoramic image synthesis from CT images

Area of Science:

• Radiology
• Dental Imaging
• Medical Image Analysis

Background:

• Computed tomography (CT), including cone-beam CT and dental CT, provides accurate 3D data crucial for dental diagnosis and treatment planning.
• Axial CT images can be used to create synthetic panoramic images, mimicking traditional 2D radiographs.
• Current methods for generating these images require manual identification of the dental arch on axial slices.

Purpose of the Study:

• To develop and evaluate a novel, rapid algorithm for the automatic detection of the dental arch in CT axial images.
• To enable automated generation of synthetic panoramic images and ray-sum panoramic images.
• To enhance the efficiency and accuracy of dental imaging workflows.

Main Methods:

• A new fast algorithm was developed for the automatic detection of the dental arch.
• The algorithm processes axial images from CT scans.
• The detected dental arch is used to automatically generate synthetic panoramic and ray-sum panoramic images.

Main Results:

• The proposed algorithm was tested on 120 CT axial images.
• The algorithm successfully provided a decent estimate of the dental arch in all tested images.
• The results indicate that the algorithm can mostly detect the correct dental arch.

Conclusions:

• The developed algorithm offers an efficient and automated solution for dental arch detection in CT axial images.
• This automation facilitates the generation of synthetic panoramic images, potentially improving diagnostic and treatment planning processes.
• The algorithm demonstrates high accuracy in identifying the dental arch, showing promise for clinical application.