
Skill
i4h-catheter-navigation
navigate catheter simulation workflows
Description
Overview of `workflows/catheter_navigation/` (fluorosim DRR, XPBD physics, vasculature digital twin). Use when the user asks what the catheter navigation workflow is, what's supported, or where to start.
SKILL.md
i4h Catheter Navigation Workflow
Purpose
Orient on the endovascular catheter navigation workflow before touching a specific stage: which CLI modes exist, how fluorosim / physics / digital-twin pieces fit together, and which per-stage skill to invoke next. This skill routes - it runs no pipeline stage itself.
Base Code
These steps drive the i4h-workflows base code (the workflows/catheter_navigation/ tree). To reuse an existing checkout, set I4H_WORKFLOWS to its path (no clone happens). Otherwise this resolves the current repo, or clones to ~/i4h-workflows - pick that default without prompting. Run every command below from the resolved root:
# Resolve the i4h-workflows base code (provides workflows/catheter_navigation/).
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 "$ROOT"
Basics
- Mode registry (source of truth):
workflows/catheter_navigation/metadata.json- lists./i4hmodes and their runtime commands. - Human docs:
workflows/catheter_navigation/README.md- data download, digital-twin build, viewport controls, troubleshooting. - Each pipeline stage has its own skill. Compose them or use [[i4h-catheter-navigation-e2e]] for a full smoke run.
- No CT data is shipped; users bring their own NIfTI/DICOM (e.g. TotalSegmentator subset).
Supported Modes
Fallback when ./i4h modes catheter_navigation fails (setup incomplete):
| Mode | Purpose |
|---|---|
preprocess_ct | CT -> attenuation volume (mu_volume.npy) + optional HU cache |
segment_vessels | Arterial tree mask + centerline (vasculature digital twin) |
render_drr | Single DRR frame (synthetic phantom if no cache) |
interactive_viewport | Live fluoroscopy viewport with XPBD catheter physics |
Subprojects
| Directory | Purpose |
|---|---|
workflows/catheter_navigation/scripts/simulation/fluorosim/examples/interactive_catheter_slang_viewport.py | Interactive viewport glue script (invoked by interactive_viewport mode) |
workflows/catheter_navigation/scripts/simulation/fluorosim/rendering/ | Local DRR rendering helpers used by viewport fallback path |
workflows/catheter_navigation/metadata.json | ./i4h mode registry and command wiring |
| Installed packages | fluorosim, vasculature_digital_twin, catheter_vasculature_solver provide renderer + digital twin + solver runtime |
workflows/catheter_navigation/tests/ | CPU smoke tests (no GPU required) |
Run
Run the step below before answering. Each step is a separate bash call; variables persist in the local agent's tmux session.
Step 1 - list supported modes
REPO_ROOT="${I4H_WORKFLOWS:-$(git rev-parse --show-toplevel 2>/dev/null)}"; [ -d "$REPO_ROOT/workflows/catheter_navigation" ] || REPO_ROOT="$HOME/i4h-workflows"
"${REPO_ROOT}/i4h" modes catheter_navigation
If the command fails, use the Supported Modes fallback table above.
Skill Index
| Skill | Purpose |
|---|---|
i4h-catheter-navigation-setup | Host/GPU preflight, PYTHONPATH, smoke-test verify |
i4h-catheter-navigation-digital-twin | Download CT data, preprocess, segment vessels |
i4h-catheter-navigation-render-drr | Render a single DRR frame |
i4h-catheter-navigation-viewport | Launch interactive fluoroscopy + catheter sim |
i4h-catheter-navigation-smoke | Run CPU unittest smoke suite |
i4h-catheter-navigation-e2e | End-to-end smoke (setup -> digital twin -> render -> tests) |
Prerequisites
- NVIDIA GPU with CUDA >= 12.8 and Vulkan-capable driver for GPU modes (render, viewport).
- For any hands-on stage, run [[i4h-catheter-navigation-setup]] first.
- For patient-specific runs, run [[i4h-catheter-navigation-digital-twin]] before viewport or cache-based DRR.
Limitations
- Overview/routing only - each stage has its own skill; this one performs no preprocessing, rendering, or simulation.
- RL/IL training integration with Isaac Lab is not yet a first-class skill stage in v0.7; use the workflow README and fluorosim API for custom data generation.
Troubleshooting
- Error: mode not found - Cause: typo or
./i4hnot run from repo root. Fix:cdto repo root and re-run Step 1; inspectworkflows/catheter_navigation/metadata.json. - Error: import errors for
fluorosim/vasculature_digital_twin/catheter_vasculature_solver- Cause: dependencies not installed in active env. Fix: run [[i4h-catheter-navigation-setup]] and install README requirements.
Final Response
The response is incomplete unless it includes all three parts below, each separated by a blank line.
- Orientation - one short paragraph: fluorosim stack, digital twin,
./i4hmodes. - Supported modes - heading plus markdown table from Step 1 or the Supported Modes fallback table.
- Available skills - heading plus the full Skill Index table copied into the response.
Then recommend [[i4h-catheter-navigation-setup]] if setup is not done, and name one next stage skill matched to the user's goal.
More skills from the skills repository
View all 305 skillsaccelerated-computing-cudf
accelerate data processing with cuDF
Jul 14Data AnalysisData EngineeringNVIDIAPerformanceaiq-deploy
deploy and manage NVIDIA AI-Q infrastructure
Jul 14DeploymentInfrastructureNVIDIAaiq-research
conduct deep research with AI-Q
Jul 14AgentsNVIDIAResearchamc-run-sample-calibration
run AMC sample dataset calibration
Jul 17Data AnalysisNVIDIATestingamc-run-video-calibration
calibrate video datasets with AutoMagicCalib
Jul 17AutomationImagingNVIDIAVideoamc-setup-calibration-stack
deploy AutoMagicCalib microservice with Docker
Jul 17DeploymentDockerNVIDIAOperations
More from NVIDIA
View publishernemoclaw-user-guide
retrieve NemoClaw documentation and configuration
NemoClaw
Jul 20DocumentationMCPSearchmcore-build-and-dependency
manage Megatron-LM development environments
Megatron-LM
Jul 27ContainersDeploymentPythonmcore-bump-base-image
update NVIDIA PyTorch base images
Megatron-LM
Jul 14CI/CDDeploymentmcore-cicd
manage CI/CD pipelines for Megatron-LM
Megatron-LM
Jul 27CI/CDDeploymentGitHubmcore-create-issue
investigate CI failures and create issues
Megatron-LM
Jul 14DebuggingGitHubTriagemcore-linting-and-formatting
lint and format Megatron-LM code
Megatron-LM
Jul 14Best PracticesCode Analysis