Welcome to FlashDRR’s documentation!

FlashDRR provides differentiable DRR (Digitally Reconstructed Radiograph) raycasting and volume rendering for PyTorch. Turn CT volumes into synthetic X-ray projections while keeping gradients flowing through both the volume and the camera parameters.

Guides:

• Getting Started
  • What is FlashDRR?
  • Installation
  • Features
  • A minimal end-to-end example
  • Contributing
• Rendering
  • Coordinate & camera conventions
  • The renderers
  • End-to-end example
  • Transfer functions
  • Rendering many views

More Information:

• GitHub
• Contributing
• Troubleshooting

API

• flashdrr.rendering
  • Raycasters
  • VolumeRaycaster
  • FusedVolumeRenderer
  • Scatter & context blocks
  • Camera & geometry helpers
  • Transfer functions
• flashdrr.utils
  • make_nd
  • normalize_hounsfield
  • normalize_voxel_scale

Indices and tables

• Index

• Module Index

• Search Page