P
pohcee/dcmnorm
A CLI and SDK to normalize and generally work with DICOM, built in Rust, and packaged with multiple language…
在 GitHub 查看 ↗链接已于 2026-11-14 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"pohcee-dcmnorm": {
"command": "npx",
"args": ["skills", "add", "pohcee/dcmnorm"]
}
}
}解析自我们于 2026-11-13 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"pohcee-dcmnorm": {
"command": "npx",
"args": ["skills", "add", "pohcee/dcmnorm"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio pohcee-dcmnorm -- npx skills add pohcee/dcmnorm
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- ★ 数取值
- 14 ★ · pohcee/dcmnorm · 取自 GitHub 搜索 API · （2026-11-13 20:00:50 核对）
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型：开源项目
- 收录与活跃
- 收录于 2026-11-14 · 最近见到 2026-11-14 · 共见到 1 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 14 ★ · 1 个来源 · repo
- 安装
npx skills add pohcee/dcmnorm
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx skills add pohcee/dcmnorm。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: Agent 技能、Claude 技能。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
pohcee/dcmnorm；我们收录于 2026-11-14；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。# dcmnorm
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Fast, open-source DICOM toolkit in Rust: parse, render, transcode, reformat, and network.
Ships as a CLI, a Rust library, and Node.js/Python/Java bindings.
🔗 Live demo: try the Node bindings in your browser — upload a .dcm file (or pick a bundled
sample) and see its JSON metadata, a JPEG of every frame, and per-step timings.
## Quick start
bash
# install the latest release (Linux, macOS, Windows)
uv tool install dcmnorm # or: curl -sSL pohcee.com/dcmnorm | sh (Linux, macOS)
dcmnorm scan.dcm # DICOM → JSON
dcmnorm scan.dcm frame.png # render a frame
dcmnorm scan.dcm out.dcm --transfer-syntax 1.2.840.10008.1.2.1 # transcode to Explicit VR LE
dcmnorm cine.dcm cine.mp4 # multi-frame → MP4
dcmnorm --mpr coronal series/.dcm coronal.png # multiplanar reformat
dcmtalk echoscu somepacs.example.com:11112 # verify a PACS connection
See Install for other options (the Claude plugin, release archives, .deb, Docker,
Cargo, build from source).
## Why dcmnorm
Fast: fastest of dcmtk, dcm4che, and dcmnorm in every parse, render, and transcode benchmark; DICOM → JSON takes ~3 ms whether the file is 90 KB or 29 MB (benchmarks)
Broad: renders most DICOM imaging SOP classes, including WSI, with modality/VOI LUTs, windowing, and overlays; cine → MP4; MPR reformats; NIfTI/NRRD volume export
Networked: dcmtalk covers C-ECHO/C-STORE/C-FIND/C-MOVE plus a storage SCP, with no dcmtk dependency
Embeddable: in-process Node.js, Python, and Java bindings, plus a Rust library crate
Agent-ready: ships with a skill for popular AI coding assistants
Powers dcm2bq: an open-source DICOM-to-BigQuery project under GoogleCloudPlatform
## What's in this repository
dcmnorm: a library crate with DICOM file, memory, JSON conversion, and DIMSE network helpers
exec/dcmnorm: a CLI for converting between DICOM, transcoded DICOM, JSON, and rendered images/raw frames
exec/dcmtalk: a DIMSE network CLI (C-ECHO/C-STORE/C-FIND/C-MOVE SCU plus a storage SCP), covering the same ground as dcmtk's echoscu/storescu/findscu/movescu/storescp
bindings/node: Node.js bindings (@pohcee/dcmnorm-node) that call the library in-process via napi-rs — see that package's own README for its API
bindings/node/examples/test-website: the source for the live demo above — also runnable locally, in Docker, or deployed to your own Cloud Run project
bindings/python: Python bindings (dcmnorm-python) that call the library in-process via PyO3 — see that package's own README for its API
bindings/java: Java bindings (com.pohcee:dcmnorm-java) that call the library in-process via the jni crate — see that package's own README for its API
## Contents
Install
dcmnorm CLI Usage
dcmtalk CLI Usage
Benchmarks
Workspace Layout
Build
Docker
Test
Releasing
Contributing
Thanks
License
## Install
Pre-built binaries are published for Linux (x86_64, aarch64; glibc 2.28+), macOS (Apple silicon,
Intel) and Windows (x86_64), on PyPI and as GitHub release archives.
### From PyPI
bash
uv tool install dcmnorm # or: pipx install dcmnorm / pip install dcmnorm
This installs the native dcmnorm and dcmtalk binaries for your platform; nothing runs in
Python. (For in-process use from Python, see bindings/python.)
### Agent plugin (Claude, Gemini CLI, Antigravity)
Ships as a CLI, a Rust library, and Node.js/Python/Java bindings.
🔗 Live demo: try the Node bindings in your browser — upload a .dcm file (or pick a bundled
sample) and see its JSON metadata, a JPEG of every frame, and per-step timings.
## Quick start
bash
# install the latest release (Linux, macOS, Windows)
uv tool install dcmnorm # or: curl -sSL pohcee.com/dcmnorm | sh (Linux, macOS)
dcmnorm scan.dcm # DICOM → JSON
dcmnorm scan.dcm frame.png # render a frame
dcmnorm scan.dcm out.dcm --transfer-syntax 1.2.840.10008.1.2.1 # transcode to Explicit VR LE
dcmnorm cine.dcm cine.mp4 # multi-frame → MP4
dcmnorm --mpr coronal series/.dcm coronal.png # multiplanar reformat
dcmtalk echoscu somepacs.example.com:11112 # verify a PACS connection
See Install for other options (the Claude plugin, release archives, .deb, Docker,
Cargo, build from source).
## Why dcmnorm
Fast: fastest of dcmtk, dcm4che, and dcmnorm in every parse, render, and transcode benchmark; DICOM → JSON takes ~3 ms whether the file is 90 KB or 29 MB (benchmarks)
Broad: renders most DICOM imaging SOP classes, including WSI, with modality/VOI LUTs, windowing, and overlays; cine → MP4; MPR reformats; NIfTI/NRRD volume export
Networked: dcmtalk covers C-ECHO/C-STORE/C-FIND/C-MOVE plus a storage SCP, with no dcmtk dependency
Embeddable: in-process Node.js, Python, and Java bindings, plus a Rust library crate
Agent-ready: ships with a skill for popular AI coding assistants
Powers dcm2bq: an open-source DICOM-to-BigQuery project under GoogleCloudPlatform
## What's in this repository
dcmnorm: a library crate with DICOM file, memory, JSON conversion, and DIMSE network helpers
exec/dcmnorm: a CLI for converting between DICOM, transcoded DICOM, JSON, and rendered images/raw frames
exec/dcmtalk: a DIMSE network CLI (C-ECHO/C-STORE/C-FIND/C-MOVE SCU plus a storage SCP), covering the same ground as dcmtk's echoscu/storescu/findscu/movescu/storescp
bindings/node: Node.js bindings (@pohcee/dcmnorm-node) that call the library in-process via napi-rs — see that package's own README for its API
bindings/node/examples/test-website: the source for the live demo above — also runnable locally, in Docker, or deployed to your own Cloud Run project
bindings/python: Python bindings (dcmnorm-python) that call the library in-process via PyO3 — see that package's own README for its API
bindings/java: Java bindings (com.pohcee:dcmnorm-java) that call the library in-process via the jni crate — see that package's own README for its API
## Contents
Install
dcmnorm CLI Usage
dcmtalk CLI Usage
Benchmarks
Workspace Layout
Build
Docker
Test
Releasing
Contributing
Thanks
License
## Install
Pre-built binaries are published for Linux (x86_64, aarch64; glibc 2.28+), macOS (Apple silicon,
Intel) and Windows (x86_64), on PyPI and as GitHub release archives.
### From PyPI
bash
uv tool install dcmnorm # or: pipx install dcmnorm / pip install dcmnorm
This installs the native dcmnorm and dcmtalk binaries for your platform; nothing runs in
Python. (For in-process use from Python, see bindings/python.)
### Agent plugin (Claude, Gemini CLI, Antigravity)
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/pohcee-dcmnorm/)
- 来源
- github · https://github.com/pohcee/dcmnorm
- 按领域浏览
- Agent 技能, Claude 技能
- Traction
- 14 ★
- 收录于
- 今天
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