D
dicom-series-preflight
by @nvidiav
4.3(120)
用于在转换或推理前对单个DICOM系列文件夹进行头信息预检,自动扫描并输出包含清单、方向、PHI标志、发现和判定结果的JSON报告。帮助医疗AI开发者快速验证DICOM数据质量,避免因异常数据导致处理失败。
安装方式
npx skills add https://github.com/nvidia/skills --skill dicom-series-preflightcompare_arrows
Before / After 效果对比
1 组使用前
在没有此技能之前,开发者需要手动逐个查看DICOM文件头,检查传输语法、方向、PHI标记等,每系列平均耗时约60分钟,且容易遗漏关键问题。
使用后
此技能自动扫描整个系列文件夹,仅需10分钟即可生成完整的预检JSON报告,包含所有必要的验证信息,还能与质量验证器配合提供信任包。
SKILL.md
DICOM Series Preflight
Purpose
- Used for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
- Use the wrapper exactly as documented; do not replace the upstream entrypoint with a handwritten implementation.
- Manifest I/O: inputs are
dicom_dir; outputs arepreflight_json.
Instructions
- Read
skill_manifest.yamlbefore changing arguments, side effects, or validation gates. - Run
scripts/preflight_series.pythrough the documented command below; keep outputs under a caller-provided run directory. - If a host agent exposes
run_script, userun_script("scripts/preflight_series.py", args=[...]); otherwise run the Bash/Python command shown below. - Check the emitted JSON and paired verifier guidance before treating the run as evidence.
Available Scripts
| Script | Purpose | Arguments |
|---|---|---|
scripts/preflight_series.py | Primary entrypoint declared by skill_manifest.yaml. | PATH_TO_DICOM_DIR |
Prerequisites
- Runtime requirements: Python packages listed in
runtime.side_effects.pip_packages. - Run commands from the repository root unless an existing section below says otherwise.
Limitations
- Header-only; does not decode pixel data or detect burnt-in PHI.
- Canonical orientation gate assumes LPS-derived CT axcodes L,P,S.
- Compressed transfer syntax and multi-frame instances are warned, not decoded.
- Single-directory scan; does not reconcile multiple studies in one tree.
- Not for clinical deployment, regulatory de-identification, autonomous diagnosis, production ingestion without a vetted converter.
Troubleshooting
| Error | Cause | Fix |
|---|---|---|
| Missing dependency or import error | Runtime package drift from skill_manifest.yaml. | Install the packages declared in the manifest or use the documented setup command. |
| Empty or schema-invalid output | Wrong input path, unsupported modality, or upstream failure. | Re-run with a known fixture and inspect the wrapper JSON plus stderr. |
| Validation gate failure | Output violated a declared engineering invariant. | Keep the failed evidence pack and use the gate message to repair inputs or wrapper code. |
Scans a DICOM directory (one series per folder) without decoding pixels.
Emits JSON with inventory, orientation axcodes, PHI flags, findings, and a
preflight.verdict of pass, warn, or fail.
python scripts/preflight_series.py PATH_TO_DICOM_DIR
Pair with verifiers/dicom_preflight_quality_v1 for a trusted preflight pack:
make run-trusted SKILL=dicom_series_preflight \
FIXTURE=skills/dicom-series-preflight/fixtures/clean_no_phi \
OUT=runs/dicom_preflight_demo
Flagship workflow:
make run-workflow \
WORKFLOW=examples/workflows/dicom_preflight_gate.yaml \
WORKFLOW_INPUT=skills/dicom-series-preflight/fixtures/clean_no_phi \
WORKFLOW_OUT=runs/dicom_preflight_gate
Not for de-identification, private-tag review, or clinical clearance.
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安装量1.9K
评分4.3 / 5.0
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更新日期2026年9月24日
对比案例1 组
用户评分
4.3(120)
5
37%
4
43%
3
13%
2
5%
1
2%
为此 Skill 评分
0.0
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🤖claude-code
时间线
创建2026年7月26日
最后更新2026年9月24日