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Haptic simulation framework for determining virtual dental occlusion.用于确定虚拟咬合的触觉模拟框架。
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Automatic Tooth Segmentation of Dental Mesh Based on Harmonic Fields.基于调和场的牙科网格自动牙齿分割
Biomed Res Int. 2015;2015:187173. doi: 10.1155/2015/187173. Epub 2015 Aug 27.
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Interactive tooth partition of dental mesh base on tooth-target harmonic field.基于牙目标谐波场的牙科网交互式牙齿分割
Comput Biol Med. 2015 Jan;56:132-44. doi: 10.1016/j.compbiomed.2014.10.013. Epub 2014 Nov 13.
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Accuracy of a computer-aided surgical simulation protocol for orthognathic surgery: a prospective multicenter study.正颌外科计算机辅助手术模拟方案的准确性:一项前瞻性多中心研究。
J Oral Maxillofac Surg. 2013 Jan;71(1):128-42. doi: 10.1016/j.joms.2012.03.027. Epub 2012 Jun 12.
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Automated digital dental articulation.自动数字式牙合架
Med Image Comput Comput Assist Interv. 2010;13(Pt 3):278-86. doi: 10.1007/978-3-642-15711-0_35.
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An automatic and robust algorithm of reestablishment of digital dental occlusion.一种自动且稳健的数字化牙颌咬合重建算法。
IEEE Trans Med Imaging. 2010 Sep;29(9):1652-63. doi: 10.1109/TMI.2010.2049526. Epub 2010 Jun 7.
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Virtual occlusion in planning orthognathic surgical procedures.虚拟咬合在正颌外科手术规划中的应用。
Int J Oral Maxillofac Surg. 2010 May;39(5):457-62. doi: 10.1016/j.ijom.2010.02.002. Epub 2010 Mar 11.
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Accuracy of the computer-aided surgical simulation (CASS) system in the treatment of patients with complex craniomaxillofacial deformity: A pilot study.计算机辅助手术模拟(CASS)系统在治疗复杂颅颌面畸形患者中的准确性:一项初步研究。
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一种用于实现整体上颌骨正颌手术中临床所需最终咬合的自动方法。

An automatic approach to establish clinically desired final dental occlusion for one-piece maxillary orthognathic surgery.

机构信息

Department of Oral and Maxillofacial Surgery, Houston Methodist Research Institute, Houston, TX, USA.

Department of Orthodontics, University of Texas Houston Health Science Center Dentistry School, Houston, TX, USA.

出版信息

Int J Comput Assist Radiol Surg. 2020 Nov;15(11):1763-1773. doi: 10.1007/s11548-020-02125-y. Epub 2020 Feb 25.

DOI:10.1007/s11548-020-02125-y
PMID:32100178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7484002/
Abstract

PURPOSE

One critical step in routine orthognathic surgery is to reestablish a desired final dental occlusion. Traditionally, the final occlusion is established by hand articulating stone dental models. To date, there are still no effective solutions to establish the final occlusion in computer-aided surgical simulation. In this study, we consider the most common one-piece maxillary orthognathic surgery and propose a three-stage approach to digitally and automatically establish the desired final dental occlusion.

METHODS

The process includes three stages: (1) extraction of points of interest and teeth landmarks from a pair of upper and lower dental models; (2) establishment of Midline-Canine-Molar (M-C-M) relationship following the clinical criteria on these three regions; and (3) fine alignment of upper and lower teeth with maximum contacts without breaking the established M-C-M relationship. Our method has been quantitatively and qualitatively validated using 18 pairs of dental models.

RESULTS

Qualitatively, experienced orthodontists assess the algorithm-articulated and hand-articulated occlusions while being blind to the methods used. They agreed that occlusion results of the two methods are equally good. Quantitatively, we measure and compare the distances between selected landmarks on upper and lower teeth for both algorithm-articulated and hand-articulated occlusions. The results showed that there was no statistically significant difference between the algorithm-articulated and hand-articulated occlusions.

CONCLUSION

The proposed three-stage automatic dental articulation method is able to articulate the digital dental model to the clinically desired final occlusion accurately and efficiently. It allows doctors to completely eliminate the use of stone dental models in the future.

摘要

目的

常规正颌手术的一个关键步骤是重新建立所需的最终牙咬合。传统上,最终咬合是通过手动咬合石牙模型来建立的。迄今为止,在计算机辅助手术模拟中仍然没有有效的方法来建立最终咬合。在这项研究中,我们考虑了最常见的整体上颌正颌手术,并提出了一种三阶段方法,通过数字化和自动建立所需的最终牙咬合。

方法

该过程包括三个阶段:(1)从一对上下牙模型中提取兴趣点和牙齿标志点;(2)根据这三个区域的临床标准建立中线-犬齿-磨牙(M-C-M)关系;(3)在不破坏建立的 M-C-M 关系的情况下,精细调整上下牙齿的最大接触。我们的方法已经使用 18 对牙模型进行了定量和定性验证。

结果

定性地,经验丰富的正畸医生评估算法咬合和手动咬合,同时对所使用的方法一无所知。他们一致认为两种方法的咬合效果同样好。定量地,我们测量并比较了上下牙选定标志点之间的距离,用于算法咬合和手动咬合。结果表明,算法咬合和手动咬合之间没有统计学上的显著差异。

结论

所提出的三阶段自动牙咬合方法能够准确有效地将数字牙模型咬合到临床所需的最终咬合位置。它允许医生将来完全消除对石牙模型的使用。