A fully automated method for 3D individual tooth identification and segmentation in dental CBCT

by   Tae Jun Jang, et al.

Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficulty in separating an individual tooth from adjacent teeth and its surrounding alveolar bone. Thus, this paper proposes a fully automated method of identifying and segmenting 3D individual teeth from dental CBCT images. The proposed method addresses the aforementioned difficulty by developing a deep learning-based hierarchical multi-step model. First, it automatically generates upper and lower jaws panoramic images to overcome the computational complexity caused by high-dimensional data and the curse of dimensionality associated with limited training dataset. The obtained 2D panoramic images are then used to identify 2D individual teeth and capture loose- and tight- regions of interest (ROIs) of 3D individual teeth. Finally, accurate 3D individual tooth segmentation is achieved using both loose and tight ROIs. Experimental results showed that the proposed method achieved an F1-score of 93.35 of 94.79 the proposed method provides an effective clinical and practical framework for digital dentistry.


page 2

page 3

page 4

page 5

page 7

page 8

page 9

page 11


Tooth Instance Segmentation from Cone-Beam CT Images through Point-based Detection and Gaussian Disentanglement

Individual tooth segmentation and identification from cone-beam computed...

Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation

Nowadays, cardiac diagnosis largely depends on left ventricular function...

Automated Muscle Segmentation from Clinical CT using Bayesian U-Net for Personalization of a Musculoskeletal Model

We propose a method for automatic segmentation of individual muscles fro...

Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images

The paper presents a Convolutional Neural Networks (CNN) model for image...

Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling

Low-dose dental cone beam computed tomography (CBCT) has been increasing...