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Use when asked to render DRR, generate a fluoro image, or smoke-test the Slang renderer.\nlicense: Apache-2.0\nmetadata:\n  author: \"Isaac for Healthcare Team \u003Cisaac-for-healthcare-support@nvidia.com>\"\n  tags:\n    - isaac-for-healthcare\n    - i4h\n    - catheter-navigation\n    - drr\n    - fluoroscopy\n---\n\n# i4h Catheter Navigation - Render DRR\n\n## Purpose\n\nRender a single digitally reconstructed radiograph (DRR) frame. Works with a preprocessed CT cache from [[i4h-catheter-navigation-digital-twin]], a direct NIfTI\u002FDICOM path, or the built-in synthetic phantom (no data required).\n\n## Base Code\n\n```bash\nROOT=\"${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>\u002Fdev\u002Fnull)}\"\nif [ ! -d \"$ROOT\u002Fworkflows\u002Fcatheter_navigation\" ]; then\n  ROOT=\"${I4H_WORKFLOWS:-$HOME\u002Fi4h-workflows}\"\n  [ -d \"$ROOT\u002Fworkflows\u002Fcatheter_navigation\" ] || git clone https:\u002F\u002Fgithub.com\u002Fisaac-for-healthcare\u002Fi4h-workflows \"$ROOT\"\nfi\nexport I4H_WORKFLOWS=\"$ROOT\"; cd \"$ROOT\"\n```\n\n## Basics\n\n- Default mode in `metadata.json`; self-contained with synthetic phantom when no `--cache` is given.\n- GPU + slangpy required for actual rendering.\n- Entry mode: `.\u002Fi4h run catheter_navigation render_drr` (preferred).\n\n## Run\n\nRun the steps below in order. Each step is a separate bash call; variables persist in the local agent's tmux session.\n\n### Step 1 - resolve run dir\n\n```bash\nREPO_ROOT=\"${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>\u002Fdev\u002Fnull)}\"; [ -d \"$REPO_ROOT\u002Fworkflows\u002Fcatheter_navigation\" ] || REPO_ROOT=\"$HOME\u002Fi4h-workflows\"\nWF_ROOT=\"${REPO_ROOT}\u002Fworkflows\u002Fcatheter_navigation\"\nRUN_DIR=\"${WF_ROOT}\u002Fruns\u002Frender_drr_$(date +%Y%m%d_%H%M%S)\"\nmkdir -p \"${RUN_DIR}\u002Flogs\"\nln -sfn \"${RUN_DIR}\" \"${WF_ROOT}\u002Fruns\u002F.latest\"\nOUTPUT=\"${RUN_DIR}\u002Fdrr.png\"\nCACHE=\"${CACHE:-}\"\n```\n\n### Step 2 - render (pick one variant)\n\n**Synthetic phantom (fastest smoke, no data):**\n\n```bash\n\"${REPO_ROOT}\u002Fi4h\" run catheter_navigation render_drr --local \\\n  --run-args=\"--output ${OUTPUT}\" \\\n  2>&1 | tee \"${RUN_DIR}\u002Flogs\u002Frender_drr.log\"\n```\n\n**From preprocessed cache:**\n\n```bash\nif [ ! -d \"${CACHE}\" ] || [ ! -f \"${CACHE}\u002Fmu_volume.npy\" ]; then\n  echo \"render-drr: set CACHE to a preprocess_ct output dir (missing mu_volume.npy).\" >&2\n  exit 1\nfi\n\"${REPO_ROOT}\u002Fi4h\" run catheter_navigation render_drr --local \\\n  --run-args=\"--cache ${CACHE} --output ${OUTPUT}\" \\\n  2>&1 | tee \"${RUN_DIR}\u002Flogs\u002Frender_drr.log\"\n```\n\n## Verify\n\n```bash\ntest -f \"${OUTPUT}\"\nfile \"${OUTPUT}\"\n```\n\n## Prerequisites\n\n- [[i4h-catheter-navigation-setup]] completed.\n- NVIDIA GPU with slangpy for rendering (CPU smoke tests do not cover GPU render).\n\n## Limitations\n\n- Single-frame render only; batch multi-env RL rendering uses the fluorosim Python API directly.\n- Catheter compositing in DRR requires attaching a `CatheterProvider` in custom scripts (not the default example).\n\n## Troubleshooting\n\n- **Error:** slangpy \u002F CUDA failures - Fix: run without `--local` to use Docker, or verify GPU driver >= 570 and CUDA 12.8.\n- **Error:** cache not found - Fix: run [[i4h-catheter-navigation-digital-twin]] first or use synthetic mode (no `--cache`).\n\n## Final Response\n\nReport output PNG path, whether synthetic or patient cache was used, and log path. 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