AEPRD: An Enhanced Algorithm for Predicting Results of Orthodontic Operations

Al Abd Alazeez, A. Thaher
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引用次数: 2

Abstract

The face is the most critical component which is clear on first sight for an individual. Soft tissue of the face alongside the fundamental dentoskeletal tissues portrays the facial attributes of a person. Social affirmation, mental well-being, and self-esteem of an individual are related to physical appearance. The impression of a charming face is generally passionate with ethnicity, age, sexual orientation, culture, and character influencing ordinary facial attributes. Strikingly, facial properties are regularly packed in profile. Orthodontic assurance and treatment orchestrating are continuously being established on profiles rather than basically on Angle's concept of molar relationship. It was seen that particular skeletal exact guidelines, proportion of constitution of the soft tissue, and facial solid position can affect the assessment of the profile. One of the uncommon challenges in orthodontics is the treatment orchestrating and the leading body of orthognathic careful cases. These cases require a mix of both orthodontics and orthognathic medical procedure to accomplish an even impediment, appropriate function, and agreeable facial feel. It is obvious in the literature that there are three main types of malocclusions: Class I which includes people who have a normal bite, Class II which includes people who have an overbite, and Class III which includes people who have an underbite. Early analysis of malocclusion is exceptionally helpful to get legitimate straight teeth. Thus, in this paper we built up a straightforward PC supported system using image processing techniques that could help foreseeing teeth impediment. In other words, we take an image of an individual and order it into one of the three primary types: Class I, Class II, and Class III and predict the post-treatments of Class II and Class III. This study gives information which can be used in treatment orchestrating by authorities, for instance, orthodontists, prosthodontists, plastic specialists, and maxillofacial experts, who have the ability to change the soft tissue facial characteristics.
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AEPRD:一种预测正畸手术结果的改进算法
脸是最重要的组成部分,对一个人来说,第一眼就能看清楚。面部软组织与基本的牙骨组织一起描绘了一个人的面部特征。一个人的社会肯定、心理健康和自尊都与外表有关。一张迷人的脸给人的印象通常会受到种族、年龄、性取向、文化和性格等因素的影响。引人注目的是,面部特征通常集中在侧面。正畸保证和治疗协调不断建立在侧面,而不是基本的角度的磨牙关系的概念。可见,特定的骨骼精确指导、软组织构成比例和面部立体位置会影响轮廓的评估。一个不常见的挑战,在正畸治疗编排和领导机构的正畸细心的情况下。这些病例需要混合正畸和正颌医疗程序来实现均匀的障碍,适当的功能和宜人的面部感觉。在文献中很明显,有三种主要类型的错咬合:第一类包括正常咬合的人,第二类包括覆盖咬合的人,第三类包括下咬合的人。对错牙合的早期分析对矫正牙齿非常有帮助。因此,在本文中,我们建立了一个简单的PC支持的系统,使用图像处理技术,可以帮助预测牙齿障碍。换句话说,我们取一个个体的图像,并将其分为三类:第一类、第二类和第三类,并预测第二类和第三类的后处理。本研究提供的信息可用于当局的治疗协调,例如,正畸医生、修复医生、整形专家和颌面专家,他们有能力改变软组织面部特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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