A framework for interactive examination of automatic segmented tumors in a virtual environment

Area of Science:

• Medical Imaging and Visualization
• Virtual Reality Applications
• Computer-Aided Diagnosis

Background:

• Traditional medical image viewing can be limited in interactivity and depth perception.
• Complex 3D anatomical structures require advanced visualization techniques for accurate interpretation.
• Integrating segmented data with original patient scans aids in contextual understanding.

Purpose of the Study:

• To develop an immersive virtual environment for interactive 3D medical image visualization.
• To enable real-time manipulation and analysis of segmented anatomical structures within patient data.
• To leverage open-source platforms for a flexible and accessible visualization solution.

Main Methods:

• Development of an automatic segmentation method for medical image data.
• Implementation of an immersive virtual environment using VRJuggler and SimVoleon.
• Integration of DICOM data processing (DCMTK) and scenegraph management (Coin3D).
• Utilized wireless gamepad for real-time user interaction (joystick, buttons).

Main Results:

• Successful creation of an interactive 3D environment for medical image data.
• Ability to view segmented objects (tumors, organs) in the context of original patient scans.
• Real-time manipulation features including pseudo-coloring, windowing, and clipping planes.
• Demonstrated utility of open-source platforms for immersive medical visualization.

Conclusions:

• The developed immersive virtual environment provides a powerful tool for medical image analysis.
• Interactive 3D visualization enhances the understanding of complex anatomical structures and pathologies.
• The system facilitates improved exploration and manipulation of medical data for clinical and research purposes.