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开发和验证一种计算机模拟微笑模型:用于单侧面神经麻痹中感知微笑所需的百分比运动的建模。

Development and validation of a computerized model of smiling: Modeling the percentage movement required for perception of smiling in unilateral facial nerve palsy.

机构信息

Department of Plastic Reconstructive Surgery, Royal Free Hospital, and Medical School, University College London, London, United Kingdom.

出版信息

J Plast Reconstr Aesthet Surg. 2013 Mar;66(3):345-51. doi: 10.1016/j.bjps.2012.10.016. Epub 2012 Nov 29.

DOI:10.1016/j.bjps.2012.10.016
PMID:23200740
Abstract

BACKGROUND

The inability to smile stands out as a notable difficulty for individuals with facial nerve palsies; a problem that facial reanimation surgery aims to rectify. However, smile reconstruction currently lacks quantitative data by which to objectively measure outcomes. This study aims to identify the relative importance of different oral muscles in terms of smiling, and explore the percentage function that needs to be restored for a smile to be perceived by an observer.

METHODS

A computer animation tool was developed to model the oral facial muscles and demonstrate the facial expressions produced by contraction of different muscle groups. By programming a variable unilateral paralysis of the zygomaticus major, the effects of 0-100% function of this muscle can also be seen in a further set of animations using the basic muscular structure of a smile to produce a computerized proxy smile. These animations were shown to 75 adults from the general population who reported those expressions they perceived as a smile.

RESULTS

The only facial expression consistently associated with a perceived smile was caused by the combined contraction of the zygomaticus major and the levator anguli oris (P < 0.001). This concurs with previously reported observations of the human smile. Over 70% of the subjects were able to perceive a smile with just 40% function of the unilateral paralyzed zygomaticus major.

CONCLUSIONS

These results present an objective target for facial reanimation surgery by which outcomes may be measured. This computerized model also provides a valuable tool for patient education during pre-operative consent.

摘要

背景

面神经麻痹患者无法微笑,这是一个明显的问题;面部再生动手术旨在解决这个问题。然而,目前微笑重建缺乏客观衡量结果的定量数据。本研究旨在确定不同口腔肌肉在微笑方面的相对重要性,并探索观察者感知微笑所需恢复的功能百分比。

方法

开发了一种计算机动画工具来模拟口腔面部肌肉,并展示不同肌肉群收缩产生的面部表情。通过编程使颧大肌单侧部分瘫痪,可以在另一组动画中看到该肌肉功能 0-100%的效果,这些动画使用基本的微笑肌肉结构来产生计算机代理微笑。将这些动画展示给 75 名来自普通人群的成年人,让他们报告自己认为是微笑的表情。

结果

唯一与感知到的微笑一致的面部表情是由颧大肌和提口角肌的共同收缩引起的(P<0.001)。这与之前报道的人类微笑观察结果一致。超过 70%的受试者能够感知到单侧颧大肌瘫痪 40%功能的微笑。

结论

这些结果为面部再生动手术提供了一个客观的目标,可据此衡量手术结果。这个计算机模型还为术前同意时的患者教育提供了一个有价值的工具。

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