The Engineering Behind the Mesh
Traditional medical imaging relies on powerful server farms to process complex volumetric data. In 2026, PillPassport shifts this paradigm by bringing Volumetric Reconstruction directly to your browser.
1. The Marching Cubes Algorithm
Our engine processes DICOM slices—transverse "photographs" of the body—and identifies "iso-surfaces" based on Hounsfield Units (HU). By analyzing voxel density in a 3D grid, we generate a polygonal mesh that accurately represents human anatomy.
Technical Specification:
Thresholding: 300+ HU (Bone Density) | Processing: Local Python Engine | Output: Normalized OBJ Mesh
2. Why Local Processing?
- Privacy: Your MRI or CT scans never leave your device.
- Speed: Zero network latency during the heavy computation phase.
- Portability: Run complex 3D planning on a smartphone or laptop anywhere in the world.
This "Non-Cloud" approach ensures that surgical planning remains active even in low-connectivity areas, making it essential for international travel and remote care.