Tooth segmentation and gingival tissue deformation framework for 3D orthodontic treatment planning and evaluating
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ORIGINAL ARTICLE
Tooth segmentation and gingival tissue deformation framework for 3D orthodontic treatment planning and evaluating Tianran Yuan 1,2 & Yimin Wang 1 & Zhiwei Hou 1 & Jun Wang 2 Received: 10 April 2019 / Accepted: 8 July 2020 # International Federation for Medical and Biological Engineering 2020
Abstract In this study, we propose an integrated tooth segmentation and gingival tissue deformation simulation framework used to design and evaluate the orthodontic treatment plan especially with invisible aligners. Firstly, the bio-characteristics information of the digital impression is analyzed quantitatively and demonstrated visually. With the derived information, the transitional regions of tooth-tooth and tooth-gingiva are extracted as the solution domain of the segmentation boundaries. Then, a boundary detection approach is proposed, which is used for the tooth segmentation and region division of the digital impression. After tooth segmentation, we propose the deformation simulation framework driven by energy function based on the biological deformation properties of gingival tissues. The correctness and availability of the proposed segmentation and gingival tissue deformation simulation framework are demonstrated with typical cases and qualitative analysis. Experimental results show that segmentation boundaries calculated by the proposed method are accurate, and local details of the digital impression under study are preserved well during deformation simulation. Qualitative analysis results of the gingival tissues’ surface area and volume variations indicate that the proposed gingival tissue deformation simulation framework is consistent with the clinical gingival tissue deformation characteristics, and it can be used to predict the rationality of the treatment plan from both visual inspection and numerical simulation. The proposed tooth segmentation and gingival tissue deformation simulation framework is shown to be effective and has good practicability, but accurate quantitative analysis based on clinical results is still an open problem in this study. Combined with tooth rearrangement steps, it can be used to design the orthodontic treatment plan, and to output the data for production of invisible aligners. Keywords CAD/CAM orthodontics . Digital impression . Tooth segmentation . Gingival tissue deformation . Invisible aligners Highlights • The digital impression can be segmented effectively and accurately. • Local details of the digital impression can be preserved well during the process of deformation simulation. • Qualitative analysis results of the volume and surface area variations indicate that the proposed gingival tissue deformation simulation framework can be used to simulate the gingival tissue deformation behavior. • The proposed simulation framework can be used to design an orthodontic treatment plan and predict its rationality from both visual inspection and numerical simulation. • The output data corresponding to the intermediate step’s digital impression can be used to make a mother
