Render a single DRR fluoroscopy frame from a CT cache or synthetic phantom. Use when asked to render DRR, generate a fluoro image, or smoke-test the Slang renderer.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add NVIDIA/skills --skill i4h-catheter-navigation-render-drr --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of I4h Catheter Navigation Render Drr?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/nvidia-i4h-catheter-navigation-render-drr)More formats (shields.io, HTML) on the badges page.
---
name: i4h-catheter-navigation-render-drr
version: "0.7.0"
description: Render a single DRR fluoroscopy frame from a CT cache or synthetic phantom. Use when asked to render DRR, generate a fluoro image, or smoke-test the Slang renderer.
license: Apache-2.0
metadata:
author: "Isaac for Healthcare Team <isaac-for-healthcare-support@nvidia.com>"
tags:
- isaac-for-healthcare
- i4h
- catheter-navigation
- drr
- fluoroscopy
---
# i4h Catheter Navigation - Render DRR
## Purpose
Render a single digitally reconstructed radiograph (DRR) frame. Works with a preprocessed CT cache from [[i4h-catheter-navigation-digital-twin]], a direct NIfTI/DICOM path, or the built-in synthetic phantom (no data required).
## Base Code
```bash
ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"
if [ ! -d "$ROOT/workflows/catheter_navigation" ]; then
ROOT="${I4H_WORKFLOWS:-$HOME/i4h-workflows}"
[ -d "$ROOT/workflows/catheter_navigation" ] || git clone https://github.com/isaac-for-healthcare/i4h-workflows "$ROOT"
fi
export I4H_WORKFLOWS="$ROOT"; cd "$ROOT"
```
## Basics
- Default mode in `metadata.json`; self-contained with synthetic phantom when no `--cache` is given.
- GPU + slangpy required for actual rendering.
- Entry mode: `./i4h run catheter_navigation render_drr` (preferred).
## Run
Run the steps below in order. Each step is a separate bash call; variables persist in the local agent's tmux session.
### Step 1 - resolve run dir
```bash
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/catheter_navigation" ] || REPO_ROOT="$HOME/i4h-workflows"
WF_ROOT="${REPO_ROOT}/workflows/catheter_navigation"
RUN_DIR="${WF_ROOT}/runs/render_drr_$(date +%Y%m%d_%H%M%S)"
mkdir -p "${RUN_DIR}/logs"
ln -sfn "${RUN_DIR}" "${WF_ROOT}/runs/.latest"
OUTPUT="${RUN_DIR}/drr.png"
CACHE="${CACHE:-}"
```
### Step 2 - render (pick one variant)
**Synthetic phantom (fastest smoke, no data):**
```bash
"${REPO_ROOT}/i4h" run catheter_navigation render_drr --local \
--run-args="--output ${OUTPUT}" \
2>&1 | tee "${RUN_DIR}/logs/render_drr.log"
```
**From preprocessed cache:**
```bash
if [ ! -d "${CACHE}" ] || [ ! -f "${CACHE}/mu_volume.npy" ]; then
echo "render-drr: set CACHE to a preprocess_ct output dir (missing mu_volume.npy)." >&2
exit 1
fi
"${REPO_ROOT}/i4h" run catheter_navigation render_drr --local \
--run-args="--cache ${CACHE} --output ${OUTPUT}" \
2>&1 | tee "${RUN_DIR}/logs/render_drr.log"
```
## Verify
```bash
test -f "${OUTPUT}"
file "${OUTPUT}"
```
## Prerequisites
- [[i4h-catheter-navigation-setup]] completed.
- NVIDIA GPU with slangpy for rendering (CPU smoke tests do not cover GPU render).
## Limitations
- Single-frame render only; batch multi-env RL rendering uses the fluorosim Python API directly.
- Catheter compositing in DRR requires attaching a `CatheterProvider` in custom scripts (not the default example).
## Troubleshooting
- **Error:** slangpy / CUDA failures - Fix: run without `--local` to use Docker, or verify GPU driver >= 570 and CUDA 12.8.
- **Error:** cache not found - Fix: run [[i4h-catheter-navigation-digital-twin]] first or use synthetic mode (no `--cache`).
## Final Response
Report output PNG path, whether synthetic or patient cache was used, and log path. Recommend [[i4h-catheter-navigation-viewport]] for interactive navigation.
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!