Multi-volume rendering using depth buffers for surgical planning in virtual reality - Scorecard - MDSpire

Multi-volume rendering using depth buffers for surgical planning in virtual reality

  • 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

  • June 7, 2025

  • 0 min

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Clinical Scorecard: Depth Buffer-Based Multi-Volume Rendering for Enhanced Surgical Planning in Virtual Reality

At a Glance

CategoryDetail
ConditionVisualization challenges in surgical planning involving multiple overlapping volumetric datasets
Key MechanismsDirect volume rendering with depth buffer handling for multiple intersecting volumes in VR
Target PopulationSurgeons and clinicians involved in surgical planning and training
Care SettingVirtual reality surgical planning environments connected to desktop systems

Key Highlights

  • Novel multi-volume rendering approach enables visualization of dozens of independent volume fragments with real-time performance suitable for VR surgical planning.
  • Depth buffer technique correctly handles occlusion and intersection of multiple volumes, overcoming limitations of single-volume and mesh-based rendering.
  • Close collaboration with experienced spine and neurosurgeons ensured clinical relevance for complex anatomical visualization, minimally invasive approach planning, and medical education.

Guideline-Based Recommendations

Diagnosis

  • Use direct volume rendering to retain original raw volumetric data for higher image quality and accuracy.
  • Segment volumes even roughly to enable high-quality visualization without loss of detail.

Management

  • Employ depth buffer-based multi-volume rendering to allow interactive manipulation of multiple overlapping datasets in VR.
  • Utilize optimization techniques such as early ray termination, empty space skipping, and foveated rendering to maintain performance.

Monitoring & Follow-up

  • Engage experienced clinicians for qualitative assessment and iterative feedback during development and clinical use.
  • Monitor rendering performance to ensure acceptable frame rates and image quality to prevent VR-induced motion sickness.

Risks

  • Be aware of potential performance degradation when rendering multiple volumes simultaneously without optimization.
  • Avoid resampling entire scenes into single volumes to prevent loss of image quality and preclude real-time interaction.

Patient & Prescribing Data

Patients undergoing complex surgical procedures requiring detailed preoperative planning

Enhanced visualization of anatomical structures and surgical scenarios in VR may improve planning accuracy and clinician training.

Clinical Best Practices

  • Integrate multi-volume rendering systems with desktop-connected VR setups to leverage higher computational power.
  • Collaborate closely with experienced surgeons during development to tailor visualization tools to clinical needs.
  • Apply segmentation to divide datasets into sub-volumes for flexible manipulation without compromising visualization quality.

References

Original Source(s)

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