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

IF 2.8 Q3 ENGINEERING, BIOMEDICAL
Martina Autelitano, Nadia Cattari, Marina Carbone, Fabrizio Cutolo, Nicola Montemurro, Emanuele Cigna, Vincenzo Ferrari
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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

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。
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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.
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