Reducing Deformation - Augmented Reality (AR) in Facelift Surgery: A Theoretical and Mathematical Study

2018 7th International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2018-09-01 DOI:10.1109/ICCCE.2018.8539344

Shelsa Ng, A. Alsadoon, P. Prasad, An Deva, Paul Manoranjanl, A. Elchouemi, S. Lau

{"title":"Reducing Deformation - Augmented Reality (AR) in Facelift Surgery: A Theoretical and Mathematical Study","authors":"Shelsa Ng, A. Alsadoon, P. Prasad, An Deva, Paul Manoranjanl, A. Elchouemi, S. Lau","doi":"10.1109/ICCCE.2018.8539344","DOIUrl":null,"url":null,"abstract":"Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometricerror algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient’s skin.","PeriodicalId":260264,"journal":{"name":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 7th International Conference on Computer and Communication Engineering (ICCCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCE.2018.8539344","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

Abstract

Augmented Reality (AR) is increasingly used in the medical field to provide surgeons with pre-surgery visuals during surgery. To date, it has not been successful for facelift surgery which involves manipulation of facial soft tissues. This paper aims to provide an overview of current AR research for this type of procedure. Experiences with AR in related medical fields (i.e. oral and maxillofacial) have highlighted limitation arising from the elastic nature of facial soft tissues, which shift shape during surgery caused by patient and surgeon movement. This paper aims to increase overlay accuracy by reducing the elastic deformation error for AR during facelift surgery. The proposed system consists of a Gaussian Distribution and Tukey Weight (GDaTW) algorithm after the geometricerror algorithm has been applied. The proposed solution has been theoretically and mathematically justified, and a comparison table has been provided. Using AR to provide an accurate display of soft tissues in the mandibular aims to overcome occlusion by the patient’s skin.

查看原文本刊更多论文

减少变形-增强现实(AR)在整容手术:理论和数学研究

增强现实技术(AR)越来越多地应用于医疗领域，在手术过程中为外科医生提供术前视觉效果。到目前为止，它还没有成功的面部拉皮手术涉及到面部软组织的操作。本文旨在概述当前AR研究的这类程序。相关医学领域(即口腔和颌面)的AR经验强调了面部软组织的弹性特性所带来的局限性，面部软组织在手术过程中会因患者和外科医生的运动而改变形状。本文旨在通过减小AR在整容手术中的弹性变形误差来提高覆盖精度。该系统在应用几何误差算法后，由高斯分布和Tukey Weight (GDaTW)算法组成。所提出的解决方案在理论上和数学上都是合理的，并提供了一个比较表。使用AR提供下颌软组织的准确显示旨在克服患者皮肤遮挡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2018 7th International Conference on Computer and Communication Engineering (ICCCE)

自引率

0.00%

发文量