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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。

dicommedical-imagingpreflightdata-validationGitHub
安装方式
npx skills add https://github.com/nvidia/skills --skill dicom-series-preflight
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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 are preflight_json.

Instructions

  • Read skill_manifest.yaml before changing arguments, side effects, or validation gates.
  • Run scripts/preflight_series.py through the documented command below; keep outputs under a caller-provided run directory.
  • If a host agent exposes run_script, use run_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

ScriptPurposeArguments
scripts/preflight_series.pyPrimary 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

ErrorCauseFix
Missing dependency or import errorRuntime package drift from skill_manifest.yaml.Install the packages declared in the manifest or use the documented setup command.
Empty or schema-invalid outputWrong input path, unsupported modality, or upstream failure.Re-run with a known fixture and inspect the wrapper JSON plus stderr.
Validation gate failureOutput 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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统计数据

安装量1.9K
评分4.3 / 5.0
版本
更新日期2026年9月24日
对比案例1 组

用户评分

4.3(120)
5
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4
43%
3
13%
2
5%
1
2%

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创建2026年7月26日
最后更新2026年9月24日
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