Augmented reality for rhinoplasty: 3D scanning and projected AR for intraoperative planning validation

IF 2.8 Q3 ENGINEERING, BIOMEDICAL Healthcare Technology Letters Pub Date : 2024-12-17 DOI:10.1049/htl2.12116
Martina Autelitano, Nadia Cattari, Marina Carbone, Fabrizio Cutolo, Nicola Montemurro, Emanuele Cigna, Vincenzo Ferrari
{"title":"Augmented reality for rhinoplasty: 3D scanning and projected AR for intraoperative planning validation","authors":"Martina Autelitano,&nbsp;Nadia Cattari,&nbsp;Marina Carbone,&nbsp;Fabrizio Cutolo,&nbsp;Nicola Montemurro,&nbsp;Emanuele Cigna,&nbsp;Vincenzo Ferrari","doi":"10.1049/htl2.12116","DOIUrl":null,"url":null,"abstract":"<p>Rhinoplasty is one of the major surgical procedures most popular and it is generally performed modelling the internal bones and cartilage using a closed approach to reduce the damage of soft tissue, whose final shape is determined by means of their new settlement over the internal remodelled rigid structures. An optimal planning, achievable thanks to advanced acquisition of 3D images and thanks to the virtual simulation of the intervention via specific software. Anyway, the final result depends also on factors that cannot be totally predicted regarding the settlement of soft tissues on the rigid structures, and a final objective check would be useful to eventually perform some adjustments before to conclude the intervention. The main idea of the present work is the using of 3D scan to acquire directly in the surgical room the final shape of the nose and to show the surgeon the differences respect to the planning in an intuitive way using augmented reality (AR) to show false colours directly over the patient face. This work motivates the selection of the devices integrated in our system, both from a technical and an ergonomic point of view, whose global error, evaluated on an anthropomorphic phantom, is lower than ± 1.2 mm with a confidence interval of 95%, while the mean error in detecting depth thickness variations is 0.182 mm.</p>","PeriodicalId":37474,"journal":{"name":"Healthcare Technology Letters","volume":"12 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11730711/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Healthcare Technology Letters","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/htl2.12116","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Rhinoplasty is one of the major surgical procedures most popular and it is generally performed modelling the internal bones and cartilage using a closed approach to reduce the damage of soft tissue, whose final shape is determined by means of their new settlement over the internal remodelled rigid structures. An optimal planning, achievable thanks to advanced acquisition of 3D images and thanks to the virtual simulation of the intervention via specific software. Anyway, the final result depends also on factors that cannot be totally predicted regarding the settlement of soft tissues on the rigid structures, and a final objective check would be useful to eventually perform some adjustments before to conclude the intervention. The main idea of the present work is the using of 3D scan to acquire directly in the surgical room the final shape of the nose and to show the surgeon the differences respect to the planning in an intuitive way using augmented reality (AR) to show false colours directly over the patient face. This work motivates the selection of the devices integrated in our system, both from a technical and an ergonomic point of view, whose global error, evaluated on an anthropomorphic phantom, is lower than ± 1.2 mm with a confidence interval of 95%, while the mean error in detecting depth thickness variations is 0.182 mm.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
增强现实鼻整形术:3D扫描和投影AR术中计划验证。
鼻整形术是最受欢迎的主要外科手术之一,它通常使用封闭的方法对内部骨骼和软骨进行建模,以减少软组织的损伤,软组织的最终形状是通过它们在内部重塑的刚性结构上的新沉降来确定的。由于先进的3D图像采集和通过特定软件对干预进行的虚拟模拟,可以实现最佳规划。无论如何,最终的结果还取决于刚性结构上软组织沉降不能完全预测的因素,最终的客观检查将有助于最终在结束干预之前进行一些调整。目前工作的主要思想是使用3D扫描直接在手术室中获取鼻子的最终形状,并使用增强现实(AR)直接在患者脸上显示虚假颜色,以直观的方式向外科医生展示与计划相关的差异。从技术和人体工程学的角度来看,这项工作激发了我们系统中集成设备的选择,其在拟人化幻影上评估的全局误差低于±1.2 mm,置信区间为95%,而检测深度厚度变化的平均误差为0.182 mm。
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 去求助
来源期刊
Healthcare Technology Letters
Healthcare Technology Letters Health Professions-Health Information Management
CiteScore
6.10
自引率
4.80%
发文量
12
审稿时长
22 weeks
期刊介绍: Healthcare Technology Letters aims to bring together an audience of biomedical and electrical engineers, physical and computer scientists, and mathematicians to enable the exchange of the latest ideas and advances through rapid online publication of original healthcare technology research. Major themes of the journal include (but are not limited to): Major technological/methodological areas: Biomedical signal processing Biomedical imaging and image processing Bioinstrumentation (sensors, wearable technologies, etc) Biomedical informatics Major application areas: Cardiovascular and respiratory systems engineering Neural engineering, neuromuscular systems Rehabilitation engineering Bio-robotics, surgical planning and biomechanics Therapeutic and diagnostic systems, devices and technologies Clinical engineering Healthcare information systems, telemedicine, mHealth.
期刊最新文献
Differential analysis of brain functional network parameters in MHE patients The Feasibility of Ambulatory Heart Rate Variability Monitoring in Non-Suicidal Self-Injury Signal-quality-aware multisensor fusion for atrial fibrillation detection Deep regression 2D-3D ultrasound registration for liver motion correction in focal tumour thermal ablation Writing the Signs: An Explainable Machine Learning Approach for Alzheimer's Disease Classification from Handwriting
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1