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

Title:
BlueLight: An Open Source DICOM Viewer Using Low-Cost Computation Algorithm Implemented with JavaScript Using Advanced Medical Imaging Visualization.
Authors:
Chen TT; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan., Sun YC; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.; Deptartment of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.; Department of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu, Taiwan., Chu WC; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan., Lien CY; Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan. chungyueh@ntunhs.edu.tw.
Source:
Journal of digital imaging [J Digit Imaging] 2023 Apr; Vol. 36 (2), pp. 753-763. Date of Electronic Publication: 2022 Dec 20.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Springer Country of Publication: United States NLM ID: 9100529 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1618-727X (Electronic) Linking ISSN: 08971889 NLM ISO Abbreviation: J Digit Imaging Subsets: MEDLINE
Imprint Name(s):
Publication: <2008-2023>: New York : Springer
Original Publication: Philadelphia, PA : W.B. Saunders, c1988-
MeSH Terms:
Algorithms* , Software*, Humans ; Radiography ; Web Browser ; Imaging, Three-Dimensional
References:
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Contributed Indexing:
Keywords: DICOM; DICOMweb; JavaScript; Multiplanar reconstruction; Volume rendering; WebGL; Zero-footprint
Entry Date(s):
Date Created: 20221220 Date Completed: 20230328 Latest Revision: 20240402
Update Code:
20250114
PubMed Central ID:
PMC10039132
DOI:
10.1007/s10278-022-00746-0
PMID:
36538245
Database:
MEDLINE

Weitere Informationen

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.
(© 2022. The Author(s) under exclusive licence to Society for Imaging Informatics in Medicine.)