Inputs
- CT / MRI / DICOM
- AI segmentation results
- Doctor annotations
Technology Core
From Scientific Visualization to Medical Spatial Intelligence
DeepView XR Engine translates scientific visualization heritage into a practical medical spatial intelligence layer.
Pholoid builds on U.S.-based scientific visualization experience, immersive display systems, medical volume data interaction, and distributed collaborative virtual environments to make complex imaging results understandable in space.
Technical translation
Scientific visualization heritageImmersive display systemsMedical volume data interactionDistributed collaborative virtual environments
01
CT / MRI / DICOM
02
AI segmentation results
03
Doctor annotations
04
Spatial medical intelligence
02 Scientific Visualization Foundation
High-resolution visualization for complex volumetric data.
Medical imaging needs more than a polished 3D model. It requires disciplined handling of dense slices, tissue boundaries, segmented structures, and spatial relationships.
- High-resolution three-dimensional visualization
- Complex scientific data and volumetric processing
- Research-grade visualization software discipline
- Layered handling of anatomy, lesions, vessels, and bones
03 Immersive Display & Lab Systems
Immersive display experience across large-scale spatial environments.
Pholoid's technical direction draws from VR labs, CAVE-style environments, multi-wall immersive display, large-screen 3D interaction, and hardware-aware optimization.
- VR lab and CAVE-style spatial display experience
- Large-screen and multi-wall three-dimensional interaction
- Optimization across PC, large display, tablet, VR, and MR contexts
- Interaction patterns that support explanation rather than spectacle
04 Complex Scientific Data Visualization
A toolchain shaped by demanding scientific visualization events.
Complex scientific data, high-resolution display systems, and research visualization toolchains inform how Pholoid approaches medical spatial data without reducing it to simple graphics.
- Complex scientific and simulation data workflows
- High-resolution display system readiness
- Structured visualization toolchains for dense datasets
- Spatial reading of scale, position, layers, and relationships
05 Medical Volume Interaction & Collaboration
Medical volume interaction becomes a shared case environment.
DeepView is designed around medical volume data interaction, projection workbench logic, spatial image review, distributed collaboration, and multi-user case discussion.
- Medical volume data interaction for CT, MRI, and DICOM sources
- Projection workbench and large-display case discussion patterns
- Spatial annotations, measurement context, and layered review
- Distributed collaborative virtual environments for multi-user discussion
06 Translation into DeepView XR Engine
Scientific visualization experience, translated into DeepView XR Engine.
DeepView XR Engine is the product layer where imaging inputs, AI outputs, and physician knowledge become interactive spatial medical systems for education, explanation, collaboration, and integration.
Engine
- 3D reconstruction
- Volume rendering
- Spatial mapping + annotation layers
Outputs
- Medical education
- Patient explanation
- Case discussion + SDK integration