Mixed reality‐based technology to visualize and facilitate treatment planning of impacted teeth: Proof of concept

Author:

Fudalej Piotr S.123,Garlicka Agnieszka1,Dołęga‐Dołegowski Damian4,Dołęga‐Dołegowska Magda4,Proniewska Klaudia4,Voborna Iva3,Dubovska Ivana3ORCID

Affiliation:

1. Department of Orthodontics Jagiellonian University Medical College, Jagiellonian University in Cracow Krakow Poland

2. Department of Orthodontics and Dentofacial Orthopedics, Medical Faculty, School of Dental Medicine University of Bern Bern Switzerland

3. Faculty of Medicine and Dentistry, Institute of Dentistry and Oral Sciences Palacký University Olomouc Olomouc Czech Republic

4. Jagiellonian University Medical College Jagiellonian University in Cracow Krakow Poland

Abstract

AbstractObjectiveWe propose a method utilizing mixed reality (MR) goggles (HoloLens 2, Microsoft) to facilitate impacted canine alignment, as planning the traction direction and force delivery could benefit from 3D data visualization using mixed reality (MR).MethodsCone‐beam CT scans featuring isometric resolution and low noise‐to‐signal ratio were semi‐automatically segmented in Inobitec software. The exported 3D mesh (OBJ file) was then optimized for the HoloLens 2. Using the Unreal Engine environment, we developed an application for the HoloLens 2, implementing HoloLens SDK and UX Tools. Adjustable pointers were added for planning attachment placement, traction direction, and point of force application. The visualization was presented to participants of a course on impacted teeth treatment, followed by a 10‐question survey addressing potential advantages (5‐point scale: 1 = totally agree, 5 = totally disagree).ResultsOut of 38 respondents, 44.7% were orthodontists, 34.2% dentists, 15.8% dental students, and 5.3% dental technicians. Most respondents (44.7%) were between 35 and 44 years old, and only 1 (2.6%) respondent was 55–64 years old. Median answers for six questions were ‘totally agree’ (25th percentile 1, 75th percentile 2) and for four questions ‘agree’ (25th percentile 1, 75th percentile 2). No correlation was found between age, profession, and responses.ConclusionOur method generated substantial interest among clinicians. The initial responses affirm the potential benefits, supporting the continued exploration of MR‐based techniques for the treatment of impacted teeth. However, the recommendation for widespread use awaits validation through clinical trials.

Funder

Erasmus+

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3