Novel virtual nasal endoscopy system based on computed tomography scans

Q1 Computer Science
Fábio de O. Sousa , Daniel S. da Silva , Tarique da S. Cavalcante , Edson C. Neto , Victor José T. Gondim , Ingrid C. Nogueira , Auzuir Ripardo de Alexandria , Victor Hugo C. de Albuquerque
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引用次数: 2

Abstract

Background

Currently, many simulator systems for medical procedures are under development. These systems can provide new solutions for training, planning, and testing medical practices, improve performance, and optimize the time of the exams. However, to achieve the best results, certain premises must be followed and applied to the model under development, such as usability, control, graphics realism, and interactive and dynamic gamification.

Methods

This study presents a system for simulating a medical examination procedure in the nasal cavity for training and research purposes, using a patient′s accurate computed tomography (CT) as a reference. The pathologies that are used as a guide for the development of the system are highlighted. Furthermore, an overview of current studies covering bench medical mannequins, 3D printing, animals, hardware, software, and software that use hardware to boost user interaction, is given. Finally, a comparison with similar state-of-the-art studies is made.

Results

The main result of this work is interactive gamification techniques to propose an experience of simulation of an immersive exam by identifying pathologies present in the nasal cavity such as hypertrophy of turbinates, septal deviation adenoid hypertrophy, nasal polyposis, and tumor.

基于计算机断层扫描的新型虚拟鼻内窥镜系统
目前,许多医疗程序的模拟系统正在开发中。这些系统可以为培训、计划和测试医疗实践提供新的解决方案,提高性能并优化考试时间。然而,为了获得最佳结果,必须遵循某些前提并将其应用于正在开发的模型,例如可用性、控制、图像真实感以及交互式和动态游戏化。方法本研究以患者的精确计算机断层扫描(CT)为参考,提出了一个用于训练和研究目的的模拟鼻腔医学检查过程的系统。病理是用来作为指导系统的发展是突出显示。此外,还概述了目前的研究,包括台式医疗人体模型,3D打印,动物,硬件,软件和使用硬件来促进用户交互的软件。最后,与同类研究进行了比较。这项工作的主要成果是交互式游戏化技术,通过识别鼻腔中存在的病理,如鼻甲肥大、鼻中隔偏曲、腺样体肥大、鼻息肉病和肿瘤,提出了一种模拟沉浸式检查的体验。
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
Virtual Reality  Intelligent Hardware
Virtual Reality Intelligent Hardware Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
6.40
自引率
0.00%
发文量
35
审稿时长
12 weeks
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