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Building a Open Source Framework for Virtual Medical Training

Authors :
Fátima L. S. Nunes
Ana Cláudia Melo Tiessi Gomes de Oliveira
Source :
Journal of Digital Imaging, Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual), Universidade de São Paulo (USP), instacron:USP
Publisher :
Springer Nature

Abstract

This paper presents a framework to build medical training applications by using virtual reality and a tool that helps the class instantiation of this framework. The main purpose is to make easier the building of virtual reality applications in the medical training area, considering systems to simulate biopsy exams and make available deformation, collision detection, and stereoscopy functionalities. The instantiation of the classes allows quick implementation of the tools for such a purpose, thus reducing errors and offering low cost due to the use of open source tools. Using the instantiation tool, the process of building applications is fast and easy. Therefore, computer programmers can obtain an initial application and adapt it to their needs. This tool allows the user to include, delete, and edit parameters in the functionalities chosen as well as storing these parameters for future use. In order to verify the efficiency of the framework, some case studies are presented.

Details

Language :
English
ISSN :
08971889
Volume :
23
Issue :
6
Database :
OpenAIRE
Journal :
Journal of Digital Imaging
Accession number :
edsair.doi.dedup.....e7ceccc149f7a9a40595d062ce8faf46
Full Text :
https://doi.org/10.1007/s10278-009-9243-3