# dcm4che/dcm4che

DICOM Implementation in JAVA

Repository: https://github.com/dcm4che/dcm4che
Canonical: https://ross.abutalabs.com/products/dcm4che
Language: Java
License: NOASSERTION
License Family: other
Last push: 2026-08-24T14:40:44+00:00

## Health v2 (maintenance only)
Score: 91/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 75, longevity 100
- inputs: {"age_days": 5831, "days_push": 9, "days_rel": 9, "gap_med": 100, "n_releases_24m": 8}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1450, forks 711 (observed 2026-08-28T04:04:45.741715+00:00)

## What it is
dcm4che is a Java toolkit and library implementing the DICOM standard for medical imaging, including data set handling, network communication, HL7 support, and image compression/decompression via a native OpenCV-based library. It is a modular rewrite of dcm4che-2.x focused on a minimal memory footprint for DICOM data sets.

## Use cases
- parse and manipulate DICOM files in Java
- build a PACS or DICOM network service
- decompress and transcode medical images
- store DICOM application configuration in LDAP
- handle HL7 messages alongside DICOM workflows
- de-identify DICOM data for research

## When to choose
- you need a mature, standards-compliant DICOM implementation on the JVM
- you are building medical imaging applications or PACS-like systems in Java
- you need DICOM network services, HL7, and audit support in one toolkit

## When to avoid
- you need a lightweight non-Java solution or a simple DICOM viewer
- your deployment is musl-based (Alpine) without a glibc compatibility layer
- you need GPU-accelerated image processing

## Facets
- artifact type: library
- maturity: active
- function: image-processing, serialization, networking, parser, sdk
- domain: healthcare, image-processing, developer-tools
- platform: jvm, windows, cross-platform
- tags: dicom, medical-imaging, hl7, pacs, java-library, imageio, healthcare-interoperability, linux, macos

## Member repositories
- dcm4che/dcm4che (main) score 91

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:45.741715+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:35:55.467312+00:00, confidence not recorded.
  - readme: https://github.com/dcm4che/dcm4che (fetched 2026-08-28T04:04:45.741715+00:00, sha 8dc3bbb80c30)
- Data as of 2026-08-30T08:39:29.467469+00:00.