To develop a multi-volume rendering approach that allows visualization of multiple independent volume fragments for surgical planning in virtual reality (VR), enhancing the surgical workflow.
Key Findings:
Direct volume rendering (DVR) provides higher-quality images and better manipulation of volumetric data compared to rasterization.
Existing DVR systems are limited to single volume rendering, posing challenges for surgical planning that requires multiple datasets.
The proposed method allows for real-time visualization of multiple volumes, improving surgical planning capabilities by enabling better assessment of complex anatomical structures.
Interpretation:
The novel multi-volume rendering approach enhances the visualization of complex anatomical structures in VR, addressing limitations of existing techniques and significantly improving the surgical planning process.
Limitations:
The method requires a powerful VR system connected to a desktop computer for optimal performance, which may limit accessibility for some users.
Extensive preprocessing and training are needed for new scenes, which may limit real-time editing capabilities.
Conclusion:
The proposed multi-volume rendering technique significantly improves surgical planning in VR by enabling the visualization of multiple overlapping volumes with adequate performance, demonstrating clear clinical relevance.
by Balázs Faludi, Marek Żelechowski, Maria Licci, Norbert Zentai, Attill Saemann, Daniel Studer, Georg Rauter, Raphael Guzman, Carol Hasler, Gregory F. Jost, Philippe C. Cattin
