WebMRI: Brain extraction and linear registration in the web browser

IF 0.7 Q3 MEDICINE, GENERAL & INTERNAL Imaging Pub Date : 2023-06-26 DOI:10.1556/1647.2023.00111
Ahmed Harmouche, F. Kövér, Sándor Szukits, T. Dóczi, Péter Bogner, A. Tóth
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引用次数: 1

Abstract

Since the initial release of the World Wide Web, the capabilities of web browsers have grown from presenting formatted documents to running complex programs, such as 3D game engines. The medical imaging community started to adopt technologies that came with the fifth major version of the HyperText Markup Language (HTML5). It led to the creation of various web-based radiological applications such as cornerstone.js or BrainBrowser. BrainBrowser supports both 3D and 2D rendering of neuroimaging data. However, it cannot run important image processing algorithms, such as brain extraction and linear registration, which are essential in most neuroimaging workflows. The most commonly used library that supports these algorithms is the FMRIB Software Library (FSL). We aim to build a web-based cross-platform neuroimaging platform that combines data visualization with image processing.We built our system as an extension of BrainBrowser. We developed WebMRI in JavaScript and designed the user interface using HTML, CSS, and Bootstrap. We used Emscripten to port the brain extraction and linear registration tools of FSL to the web.We built WebMRI, a fully web-based extensible neuroimaging platform that combines the visualization capabilities of BrainBrowser with the brain extraction and linear registration tools of FSL by porting them from C++ to WebAssembly. We extended BrainBrowser with a plugin system that makes it easy to bring other processing algorithms into the platform. We released the WebMRI source code on Github: https://github.com/wpmed92/WebMRI.We developed and released WebMRI, a web-based cross-platform open-source neuroimaging platform.
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WebMRI:网络浏览器中的大脑提取和线性配准
自万维网首次发布以来,网络浏览器的功能已经从呈现格式化文档发展到运行复杂程序,如3D游戏引擎。医学成像社区开始采用超文本标记语言(HTML5)第五个主要版本附带的技术。它导致了各种基于网络的放射学应用程序的创建,如cornerstone.js或BrainBrowser。BrainBrowser支持神经成像数据的3D和2D渲染。然而,它无法运行重要的图像处理算法,如大脑提取和线性配准,这在大多数神经成像工作流程中是必不可少的。支持这些算法的最常用的库是FMRIB软件库(FSL)。我们的目标是建立一个基于网络的跨平台神经成像平台,将数据可视化与图像处理相结合。我们将系统构建为BrainBrowser的扩展。我们用JavaScript开发了WebMRI,并使用HTML、CSS和Bootstrap设计了用户界面。我们使用Emscripten将FSL的大脑提取和线性配准工具移植到网络上。我们构建了WebMRI,这是一个完全基于网络的可扩展神经成像平台,通过将BrainBrowser的可视化功能与FSL的大脑提取和线性配准工具从C++移植到WebAssembly,将其结合在一起。我们用一个插件系统扩展了BrainBrowser,使其可以轻松地将其他处理算法引入平台。我们在Github上发布了WebMRI源代码:https://github.com/wpmed92/WebMRI.We开发并发布了WebMRI,这是一个基于网络的跨平台开源神经成像平台。
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来源期刊
Imaging
Imaging MEDICINE, GENERAL & INTERNAL-
CiteScore
0.70
自引率
25.00%
发文量
6
审稿时长
7 weeks
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