IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Grid-Based Visualization and its Medical Applications

Grid-Based Visualization and its Medical Applications
View Sample PDF
Author(s): Yingjun Qiu (Beijing Sigma Center, China), Youbing Zhao (Siemens Ltd., China)and Jiaoying Shi (Zhejiang University, China)
Copyright: 2008
Pages: 33
Source title: User Centered Design for Medical Visualization
Source Author(s)/Editor(s): Feng Dong (Brunel University, UK), Gheorghita Ghinea (Brunel University, UK)and Sherry Y. Chen (Brunel University, UK)
DOI: 10.4018/978-1-59904-777-5.ch002

Purchase

View Grid-Based Visualization and its Medical Applications on the publisher's website for pricing and purchasing information.

Abstract

Traditional visualization approaches cannot handle new challenges in the visualization field such as visualizing huge data sets, communicating between existing visualization systems and providing interactive visualization services, widely. In this chapter, the authors introduce an emerging research direction in the visualization field, grid-based visualization, which aims to resolves the above problems by utilizing grid computing technology. However, current grid computing technology is almost batch job-oriented and does not support interactive visualization applications natively. In this chapter, the authors implement a grid-based visualization system (GVis) which utilizes large-scale computing resources to achieve large dataset visualization in real time and provides end users with reliable interactive visualization services, widely. In GVis system, current grid computing technology is extended to support interactive visualization applications.

Related Content

R. N. Ravikumar, S. Aarthi, Valisher Sapayev, Alijon Esanov. © 2026. 32 pages.
Md Mehedi Hasan Emon, Tahsina Khan. © 2026. 34 pages.
Zerin Tasnim, Md Mahdi Hasan Ahid, Md. Adnan Rahman, Mohammad Mofasserul Islam, Md. Nafis Fuad, Abu Bakar Abdul Hamid. © 2026. 34 pages.
P. S. Venkateswaran, S. Jeyakumar, S. Devi Kamatchi, S. Manimaran. © 2026. 36 pages.
Aliza, Abdullah, Muhammad Usman. © 2026. 32 pages.
Rohit Yadav. © 2026. 22 pages.
Salam Al E'mari, Yousef Sanjalawe, Fuad Fataftah. © 2026. 30 pages.
Body Bottom