Evidence map›Paper›PMID 36538245›Full record

ArticleJournal of digital imaging2023

BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization.

Tseng-Tse Chen, Ying-Chou Sun, Woei-Chyn Chu, Chung-Yueh Lien

Abstract read
In one paragraph

Article in Journal of digital imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Tseng-Tse ChenDepartment of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
Ying-Chou SunSchool of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-1581-9217
Woei-Chyn ChuDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-9407-0741
Chung-Yueh LienDepartment of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan. chungyueh@ntunhs.edu.tw.ORCID 0000-0002-7230-6303

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, WebGL has been widely used in numerous web-based medical image viewers to present advanced imaging visualization. However, in the scenario of medical imaging, there are many challenges of computation time and memory consumption that limit the use of advanced image renderings, such as volume rendering and multiplanar reformation/reconstruction, in low-cost mobile devices. In this study, we propose a client-side rendering low-cost computation algorithm for common two- and three-dimensional medical imaging visualization implemented by pure JavaScript. Particularly, we used the functions of cascading style sheet transform and combinate with Digital Imaging and Communications in Medicine (DICOM)-related imaging to replace the application programming interface with high computation to reduce the computation time and save memory consumption while launching medical imaging interpretation on web browsers. The results show the proposed algorithm significantly reduced the consumption of central and graphics processing units on various web browsers. The proposed algorithm was implemented in an open-source web-based DICOM viewer BlueLight; the results show that it has sufficient rendering performance to display 3D medical images with DICOM-compliant annotations and has the ability to connect to image archive via DICOMweb as well.Keywords: WebGL, DICOMweb, Multiplanar reconstruction, Volume rendering, DICOM, JavaScript, Zero-footprint.

Indexed as

AlgorithmsSoftwareHumansImaging, Three-DimensionalRadiographyWeb BrowserDICOMDICOMwebJavaScriptMultiplanar reconstructionVolume renderingWebGLZero-footprint

Identifiers

PMID36538245
PMCPMC10039132

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.