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AboArab MA, Potsika VT, Skalski A, Stanuch M, Gkois G, Koncar I, Matejevic D, Theodorou A, Vagena S, Sigala F, Fotiadis DI. DECODE-3DViz: Efficient WebGL-Based High-Fidelity Visualization of Large-Scale Images using Level of Detail and Data Chunk Streaming. JOURNAL OF IMAGING INFORMATICS IN MEDICINE 2025:10.1007/s10278-025-01430-9. [PMID: 39953258 DOI: 10.1007/s10278-025-01430-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2024] [Revised: 01/20/2025] [Accepted: 01/24/2025] [Indexed: 02/17/2025]
Abstract
The DECODE-3DViz pipeline represents a major advancement in the web-based visualization of large-scale medical imaging data, particularly for peripheral artery computed tomography images. This research addresses the critical challenges of rendering high-resolution volumetric datasets via WebGL technology. By integrating progressive chunk streaming and level of detail (LOD) algorithms, DECODE-3DViz optimizes the rendering process for real-time interaction and high-fidelity visualization. The system efficiently manages WebGL texture size constraints and browser memory limitations, ensuring smooth performance even with extensive datasets. A comparative evaluation against state-of-the-art visualization tools demonstrates DECODE-3DViz's superior performance, achieving up to a 98% reduction in rendering time compared with that of competitors and maintaining a high frame rate of up to 144 FPS. Furthermore, the system exhibits exceptional GPU memory efficiency, utilizing as little as 2.6 MB on desktops, which is significantly less than the over 100 MB required by other tools. User feedback, collected through a comprehensive questionnaire, revealed high satisfaction with the tool's performance, particularly in areas such as structure definition and diagnostic capability, with an average score of 4.3 out of 5. These enhancements enable detailed and accurate visualizations of the peripheral vasculature, improving diagnostic accuracy and supporting better clinical outcomes. The DECODE-3DViz tool is open source and can be accessed at https://github.com/mohammed-abo-arab/3D_WebGL_VolumeRendering.git .
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Affiliation(s)
- Mohammed A AboArab
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, 45110, Ioannina, Greece
- Electronics and Electrical Communication Engineering Dept, Faculty of Engineering, Tanta University, Tanta, Egypt
| | - Vassiliki T Potsika
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, 45110, Ioannina, Greece
| | - Andrzej Skalski
- Dept. of Measurement and Electronics, AGH University of Krakow, 30-059, Krakow, Poland
- MedApp S.A, 30-037, Krakow, Poland
| | - Maciej Stanuch
- Dept. of Measurement and Electronics, AGH University of Krakow, 30-059, Krakow, Poland
- MedApp S.A, 30-037, Krakow, Poland
| | - George Gkois
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, 45110, Ioannina, Greece
| | - Igor Koncar
- Clinic for Vascular and Endovascular Surgery, University Clinical of Serbia, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - David Matejevic
- Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - Alexis Theodorou
- First Propaedeutic Dept. of Surgery, National and Kapodistrian University of Athens, Athens, Greece
| | - Sylvia Vagena
- First Propaedeutic Dept. of Surgery, National and Kapodistrian University of Athens, Athens, Greece
| | - Fragiska Sigala
- First Propaedeutic Dept. of Surgery, National and Kapodistrian University of Athens, Athens, Greece
| | - Dimitrios I Fotiadis
- Unit of Medical Technology and Intelligent Information Systems, Dept. of Materials Science and Engineering, University of Ioannina, 45110, Ioannina, Greece.
- Biomedical Research Institute, Foundation for Research and Technology-Hellas, University Campus of Ioannina, 45110, Ioannina, Greece.
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Li X. Visualization Display System of Gannan Hakka Paper-Cut Works Based on Computer Graphics Algorithm. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:2419689. [PMID: 35371254 PMCID: PMC8970904 DOI: 10.1155/2022/2419689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 02/18/2022] [Accepted: 02/21/2022] [Indexed: 11/18/2022]
Abstract
Today, computer graphics and graphic image processing techniques have been widely used in daily life and industrial production. Due to the development of computers, computer graphics has brought more convenience to our daily life. In order to give full play to the value of computers, this paper takes the Hakka paper-cut art with local characteristics as the starting point, first of all its development history, artistic characteristics, compositional forms, expression techniques, cultural connotations, Hakka paper-cut patterns, and the symbolic meaning of folk customs, and then we design a visualization system for the paper-cut works of Gannan Hakka based on computer graphics. In addition, the system provides a solution for the integration of Gannan Hakka paper-cut art and Jiangxi native product packaging design and provides a reference for the theory and practice of modern native product packaging design.
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Affiliation(s)
- Xingping Li
- Ganzhou Teachers College, Ganzhou, Jiangxi 341000, China
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