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dicom-synth

v2.0.0

Published

Toolkit for synthetic DICOM fixtures and public fixture fetch/cache.

Downloads

1,623

Readme

dicom-synth

Schema-driven synthetic DICOM fixture generation and public fixture fetch/cache. Portable and independent of any consumer (e.g. dicom-curate).

Install

pnpm add dicom-synth
pnpm add dcmjs   # peer dependency (^0.51.1)

Quick start

In-process — generate a deterministic collection and use it without touching disk:

import { generateCollectionFromSpec } from 'dicom-synth'

for await (const file of generateCollectionFromSpec({
  entries: [{ type: 'valid-image', count: 5 }],
  seed: 42,
})) {
  console.log(file.filename, file.buffer.length) // Buffer ready to parse or pipe
}

Or from the command line — write fixtures to a directory:

dicom-synth-generate --schema-inline '{"entries":[{"type":"valid-image","count":5}]}' --out ./out

The full input shape (image types, sizing, modalities, grouping, violations, …) is the schema reference.

Documentation

| Guide | Covers | |---|---| | Synthetic fixtures | The three-layer generation API (generateFile, generateCollectionFromSpec, writeCollectionFromSpec) and usage patterns | | Schema reference | DatasetSpec and every field — types, sizing, modality, grouping, layout, path quirks, tags, transfer syntax, violations, validation | | Parametric designer | Range-based ParametricSpec that resolves deterministically into a DatasetSpec | | Describe tool | Scan a real DICOM tree → DatasetSpec (shape-only by default; opt-in tag preservation) | | CLI reference | dicom-synth-generate, dicom-synth-describe, dicom-synth-fetch | | Public fixtures | Catalog-backed fetch/cache with SHA-256 verification | | Development | Scripts, hooks, and source layout | | Examples | Runnable example specs and the shape converter |

Future development

  • Very large (streamed) files — synthesise single DICOMs beyond the 512 MB in-memory cap via a disk-only streaming writer
  • Dimension edge-case recipes — documented presets for geometry pathologies (1×65535 strips, high frame counts)
  • Per-file tag variance templating — patterned overrides like "PatientID": "P{index}" for shape replication
  • Compressed transfer syntaxes — JPEG-LS, JPEG 2000, RLE
  • Private fixture catalogues — same SHA-256 fetch/cache pattern for credentials-backed sources (e.g. S3)

License

Apache-2.0