Web-Based 3D Visualisation of Biological and Medical Data

Area of Science:

• Medical and biological data visualization
• Computer-assisted diagnostics
• Bioinformatics

Background:

• Medical and biological research generates large volumetric datasets (e.g., MRI, CT, PET, microscopy).
• Effective visualization is crucial for data interpretation and analysis.
• Standalone visualization tools are powerful but often lack accessibility and collaboration features.

Purpose of the Study:

• To provide an overview of web-based frameworks for visualizing medical and biological volumetric data.
• To compare the advantages and disadvantages of web-based frameworks versus standalone visualization tools.
• To introduce the open-source web-based visualization environment, Med3D.

Main Methods:

• Literature review of existing web-based visualization frameworks.
• Comparative analysis of web-based and standalone visualization tools.
• Demonstration of the Med3D open-source environment.

Main Results:

• Web-based frameworks offer advantages in accessibility, collaboration, and platform independence for volumetric data visualization.
• Standalone tools provide high performance and advanced features but can be limited by installation and hardware requirements.
• Med3D is presented as a viable open-source solution for web-based medical and biological data visualization.

Conclusions:

• Web-based visualization frameworks are increasingly important for medical and biological data.
• The choice between web-based and standalone tools depends on specific research needs and resources.
• Open-source solutions like Med3D can enhance accessibility and collaboration in scientific visualization.