Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study

This paper highlights advancements in DICOM and MPR visualization using PWAs, addressing the gaps in web-based medical imaging. By exploiting PWA features such as offline access and improved performance, we have significantly advanced medical imaging technology, focusing on cross-platform compatibility, integration efficiency, and speed. Our application outperforms existing platforms for handling complex MPR analyses and accurate analysis of medical imaging as validated through peripheral artery CT imaging.

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Publication Details

Journal
JMIR Medical Informatics
Published
2024-10-14
DOI
https://doi.org/10.2196/63834
Citations
3
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.21
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article

Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study

Fragiska Sigala, Dimitrios I. Fotiadis, Vassiliki T. Potsika, Mohammed A. AboArab et al.
3 citations
JMIR Medical Informatics
Radiomics and Machine Learning in Medical Imaging
1.21
article

Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Development and Validation Study

Fragiska Sigala, Dimitrios I. Fotiadis, Vassiliki T. Potsika, Mohammed A. AboArab, Sylvia Vagena, Miltiadis Gravanis, Alexis Theodorou
article en
3 citations

Abstract

This paper highlights advancements in DICOM and MPR visualization using PWAs, addressing the gaps in web-based medical imaging. By exploiting PWA features such as offline access and improved performance, we have significantly advanced medical imaging technology, focusing on cross-platform compatibility, integration efficiency, and speed. Our application outperforms existing platforms for handling complex MPR analyses and accurate analysis of medical imaging as validated through peripheral artery CT imaging.

JMIR Medical InformaticsVol. 12
University of Ioannina (GR), National and Kapodistrian University of Athens (GR), Tanta University (EG), KAT General Hospital of Attica (GR)
Industry, innovation and infrastructure
Openalex Percentile: Top 20%
Radiomics and Machine Learning in Medical Imaging
1.21
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