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i4h-catheter-navigation-render-drr

Render a single DRR fluoroscopy frame from a CT cache or synthetic phantom.

3.2k|370|Updated Feb 25, 2026
Search Tags:#drr#medical imaging#catheter navigation#isaac for healthcare#fluoroscopy#ct cache#slang renderer
One-click install
npx skills add https://github.com/NVIDIA/skills --skill i4h-catheter-navigation-render-drr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: i4h-catheter-navigation-render-drr
Source: https://github.com/NVIDIA/skills/tree/main/skills/i4h-catheter-navigation-render-drr
Command: npx skills add https://github.com/NVIDIA/skills --skill i4h-catheter-navigation-render-drr

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rendering a digitally reconstructed radiograph (DRR) for catheter navigation workflows requires correctly configuring the Isaac for Healthcare Slang renderer, GPU environment, and input data, which is error-prone when done manually.

Core Features & Use Cases

  • Synthetic Phantom Rendering: Generate a DRR frame with no patient data for fast smoke tests of the Slang renderer.
  • CT Cache Rendering: Render a fluoroscopy frame from a preprocessed CT cache containing mu_volume.npy produced by the digital twin workflow.
  • Structured Run Management: Create timestamped run directories with logs and verified PNG outputs.
  • Use Case: A developer validating a catheter navigation pipeline asks the agent to smoke-test the Slang fluoroscopy renderer on a GPU, and the skill produces a verified DRR PNG plus render log without any patient data.

Quick Start

Ask your agent to render a synthetic DRR frame and save the PNG in a new catheter workflow run directory.

Frequently Asked Questions about i4h-catheter-navigation-render-drr

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I render a DRR fluoroscopy image from CT data?▼

Run the catheter_navigation render_drr mode with a preprocessed CT cache containing mu_volume.npy via ./i4h run catheter_navigation render_drr --local with --cache and --output arguments. The skill validates the cache before rendering and verifies the output PNG.

How to smoke-test the Slang fluoroscopy renderer without patient data?▼

Use the synthetic phantom mode by running render_drr without a --cache argument. This generates a single DRR frame from the built-in phantom, requiring only an NVIDIA GPU with slangpy installed.

What GPU and CUDA requirements does DRR rendering need?▼

Actual rendering requires an NVIDIA GPU with driver version 570 or newer and CUDA 12.8, plus slangpy. CPU-only environments cannot run the GPU render; use Docker mode without --local as an alternative.

Why does DRR rendering fail with slangpy or CUDA errors?▼

Slangpy or CUDA failures usually indicate a missing GPU, outdated driver, or mismatched CUDA version. Verify driver 570+ and CUDA 12.8, or rerun without --local to execute inside Docker.

Can this render multiple frames or an interactive fluoroscopy session?▼

No, this skill renders a single frame only. Batch multi-env RL rendering uses the fluorosim Python API directly, and interactive catheter navigation with keyboard controls requires the separate i4h-catheter-navigation-viewport workflow.

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