Rendering Medical Images using WebAssembly

Sébastien Jodogne

2022

Abstract

The rendering of medical images is a critical step in a variety of medical applications from diagnosis to therapy. Specialties such as radiotherapy and nuclear medicine must display complex images that are the fusion of several layers. Furthermore, the rise of artificial intelligence applied to medical imaging calls for viewers that can be used in research environments and that can be adapted by scientists. However, desktop viewers are often developed using technologies that are totally different from those used for Web viewers, which results in a lack of code reuse and shared expertise between development teams. In this paper, we show how the emerging WebAssembly standard can be used to tackle these issues by sharing the same code base between heavyweight viewers and zero-footprint viewers. Moreover, we propose a full Web viewer developed using WebAssembly that can be used in research projects or in teleradiology applications. The source code of the developed Web viewer is available as free and open-source software.

Paper Citation

in Harvard Style

Jodogne S. (2022). Rendering Medical Images using WebAssembly. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 2: BIOIMAGING; ISBN 978-989-758-552-4, SciTePress, pages 43-51. DOI: 10.5220/0010833300003123

in Bibtex Style

@conference{bioimaging22,
author={Sébastien Jodogne},
title={Rendering Medical Images using WebAssembly},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 2: BIOIMAGING},
year={2022},
pages={43-51},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010833300003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 2: BIOIMAGING
TI - Rendering Medical Images using WebAssembly
SN - 978-989-758-552-4
AU - Jodogne S.
PY - 2022
SP - 43
EP - 51
DO - 10.5220/0010833300003123
PB - SciTePress