Web-Based Technology for Remote Viewing of Radiological Images: App Validation

BackgroundInternet technologies can create advanced and rich web-based apps that allow radiologists to easily access teleradiology systems and remotely view medical images. However, each technology has its own drawbacks. It is difficult to balance the advantages and disadvant...

Full description

Bibliographic Details
Main Authors: Min, Qiusha, Wang, Xin, Huang, Bo, Xu, Liangzhou
Format: Article
Language:English
Published: JMIR Publications 2020-09-01
Series:Journal of Medical Internet Research
Online Access:http://www.jmir.org/2020/9/e16224/
id doaj-2ecbc1643eef4e3d982fdfd21bf3d0c7
record_format Article
spelling doaj-2ecbc1643eef4e3d982fdfd21bf3d0c72021-04-02T18:56:38ZengJMIR PublicationsJournal of Medical Internet Research1438-88712020-09-01229e1622410.2196/16224Web-Based Technology for Remote Viewing of Radiological Images: App ValidationMin, QiushaWang, XinHuang, BoXu, Liangzhou BackgroundInternet technologies can create advanced and rich web-based apps that allow radiologists to easily access teleradiology systems and remotely view medical images. However, each technology has its own drawbacks. It is difficult to balance the advantages and disadvantages of these internet technologies and identify an optimal solution for the development of medical imaging apps. ObjectiveThis study aimed to compare different internet platform technologies for remotely viewing radiological images and analyze their advantages and disadvantages. MethodsOracle Java, Adobe Flash, and HTML5 were each used to develop a comprehensive web-based medical imaging app that connected to a medical image server and provided several required functions for radiological interpretation (eg, navigation, magnification, windowing, and fly-through). Java-, Flash-, and HTML5-based medical imaging apps were tested on different operating systems over a local area network and a wide area network. Three computed tomography colonography data sets and 2 ordinary personal computers were used in the experiment. ResultsThe experimental results demonstrated that Java-, Flash-, and HTML5-based apps had the ability to provide real-time 2D functions. However, for 3D, performances differed between the 3 apps. The Java-based app had the highest frame rate of volume rendering. However, it required the longest time for surface rendering and failed to run surface rendering in macOS. The HTML5-based app had the fastest surface rendering and the highest speed for fly-through without platform dependence. Volume rendering, surface rendering, and fly-through performances of the Flash-based app were significantly worse than those of the other 2 apps. ConclusionsOracle Java, Adobe Flash, and HTML5 have individual strengths in the development of remote access medical imaging apps. However, HTML5 is a promising technology for remote viewing of radiological images and can provide excellent performance without requiring any plug-ins.http://www.jmir.org/2020/9/e16224/
collection DOAJ
language English
format Article
sources DOAJ
author Min, Qiusha
Wang, Xin
Huang, Bo
Xu, Liangzhou
spellingShingle Min, Qiusha
Wang, Xin
Huang, Bo
Xu, Liangzhou
Web-Based Technology for Remote Viewing of Radiological Images: App Validation
Journal of Medical Internet Research
author_facet Min, Qiusha
Wang, Xin
Huang, Bo
Xu, Liangzhou
author_sort Min, Qiusha
title Web-Based Technology for Remote Viewing of Radiological Images: App Validation
title_short Web-Based Technology for Remote Viewing of Radiological Images: App Validation
title_full Web-Based Technology for Remote Viewing of Radiological Images: App Validation
title_fullStr Web-Based Technology for Remote Viewing of Radiological Images: App Validation
title_full_unstemmed Web-Based Technology for Remote Viewing of Radiological Images: App Validation
title_sort web-based technology for remote viewing of radiological images: app validation
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2020-09-01
description BackgroundInternet technologies can create advanced and rich web-based apps that allow radiologists to easily access teleradiology systems and remotely view medical images. However, each technology has its own drawbacks. It is difficult to balance the advantages and disadvantages of these internet technologies and identify an optimal solution for the development of medical imaging apps. ObjectiveThis study aimed to compare different internet platform technologies for remotely viewing radiological images and analyze their advantages and disadvantages. MethodsOracle Java, Adobe Flash, and HTML5 were each used to develop a comprehensive web-based medical imaging app that connected to a medical image server and provided several required functions for radiological interpretation (eg, navigation, magnification, windowing, and fly-through). Java-, Flash-, and HTML5-based medical imaging apps were tested on different operating systems over a local area network and a wide area network. Three computed tomography colonography data sets and 2 ordinary personal computers were used in the experiment. ResultsThe experimental results demonstrated that Java-, Flash-, and HTML5-based apps had the ability to provide real-time 2D functions. However, for 3D, performances differed between the 3 apps. The Java-based app had the highest frame rate of volume rendering. However, it required the longest time for surface rendering and failed to run surface rendering in macOS. The HTML5-based app had the fastest surface rendering and the highest speed for fly-through without platform dependence. Volume rendering, surface rendering, and fly-through performances of the Flash-based app were significantly worse than those of the other 2 apps. ConclusionsOracle Java, Adobe Flash, and HTML5 have individual strengths in the development of remote access medical imaging apps. However, HTML5 is a promising technology for remote viewing of radiological images and can provide excellent performance without requiring any plug-ins.
url http://www.jmir.org/2020/9/e16224/
work_keys_str_mv AT minqiusha webbasedtechnologyforremoteviewingofradiologicalimagesappvalidation
AT wangxin webbasedtechnologyforremoteviewingofradiologicalimagesappvalidation
AT huangbo webbasedtechnologyforremoteviewingofradiologicalimagesappvalidation
AT xuliangzhou webbasedtechnologyforremoteviewingofradiologicalimagesappvalidation
_version_ 1721550348334661632