An automatic tooth reconstruction method based on multimodal data
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R E G UL A R P A P E R
Jiahong Qian
•
Shijuan Lu • Yuan Gao • Yubo Tao • Jun Lin • Hai Lin
An automatic tooth reconstruction method based on multimodal data
Received: 1 July 2020 / Revised: 16 August 2020 / Accepted: 27 August 2020 Ó The Visualization Society of Japan 2020
Abstract A complete digital tooth model with both the dental crown and root is of great importance for computer-aided orthodontic treatment. This paper first proposes an automatic segmentation method for complete tooth models with both the crown and reconstructed root based on multimodal data. With the laserscanned crown mesh and cone-beam computed tomography (CBCT) data of a patient, we propose an improved iterative closest point algorithm and convex hull selection method to obtain the initial contour and slice for segmentation. Based on the initialization, we propose an improved level set method with the shape prior, named LSS, to segment the root of the tooth slice by slice. After segmentation, we reconstruct the root model and replace the crown part with the scanned crown model to solve the occlusal problem. The experiments demonstrate that our method can obtain tooth models from CBCT automatically and accurately. Keywords Automatic image segmentation Iterative closest point Convex hull Improved level set Shape prior Multimodal data Cone-beam computed tomography
1 Introduction In recent years, people have started to pay much attention to their appearance, as well as to the neatness and beauty of teeth. Complete and accurate extraction of three-dimensional (3D) digital tooth models is an important research direction in orthodontic research, especially in tooth arrangement and biomechanical tooth simulation. Complete teeth, including both crown and root, can be reconstructed from 3D data, such as magnetic resonance imaging (MRI), computed tomography (CT), and cone-beam computed tomography (CBCT) (Dra˘gan et al. 2016; Landesberger et al. 2016; Wang et al. 2019). CBCT is the most popular imaging technique in dental imaging due to its better separation between soft and hard tissues. During the process of dental imaging, a CBCT scanner images the patient’s head, obtaining hundreds of DICOM
Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12650-020-00697-0) contains supplementary material, which is available to authorized users. J. Qian S. Lu Y. Gao Y. Tao H. Lin State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou, China E-mail: [email protected] Y. Tao H. Lin (&) Innovation Center for Minimally Invasive Technique and Device, Zhejiang University, Hangzhou, China E-mail: [email protected] J. Lin (&) Department of Stomatology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China E-mail: [email protected]
J. Qian et al.
(Digital Imaging and Communications in Medicine Peck 2008) images for subsequent medical analysis. The main steps of 3D digital tooth model extraction from two-dimensional (2D) CBCT data are image process
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