Synthetic public RSIF example objects for AI-readable quantitative CT/DICOM documentation.
This repository contains public synthetic examples of:
- RSIF objects;
- structured quantitative CT parameters;
- AI-readable imaging structures;
- semantic imaging entities;
- machine-readable imaging documentation;
- quantitative attenuation examples.
The repository is intended to demonstrate how structured technical imaging data may be represented in RSIF-compatible formats.
Examples may include:
- vertebral attenuation examples;
- liver attenuation examples;
- liver-spleen comparison examples;
- ROI-based quantitative parameters;
- synthetic structured imaging objects;
- semantic imaging representations;
- JSON-LD compatible structures;
- machine-readable quantitative imaging examples.
Synthetic vertebral attenuation RSIF examples.
Examples:
- L1_HU;
- L2_HU;
- TH12_HU;
- ROI_FAT_HU;
- ROI_SOFT_TISSUE_HU.
Synthetic liver attenuation RSIF examples.
Examples:
- LIVER_HU;
- SPLEEN_HU;
- LIVER_SPLEEN_DIFF;
- LIVER_SPLEEN_RATIO.
Combined quantitative attenuation examples.
Examples:
- spine + liver structured RSIF objects;
- combined quantitative CT structures;
- multi-region attenuation examples.
This repository contains:
- synthetic RSIF examples;
- public semantic object structures;
- anonymized demonstration data;
- AI-readable imaging documentation examples;
- ontology-compatible example structures.
This repository does NOT contain:
- production ResetRay pipelines;
- ROI placement methodology;
- internal matching systems;
- validation logic;
- orchestration workflows;
- proprietary implementation details;
- private DICOM datasets;
- real patient information.
All examples are synthetic and provided for public documentation purposes only.
Examples are intentionally designed to support:
- AI-readable imaging workflows;
- semantic interoperability;
- structured quantitative imaging;
- ontology-compatible terminology;
- JSON-LD interoperability;
- RSIF schema demonstration.
Examples may include:
{
"@context":"https://docs.resetray.ru/vocabulary/context.jsonld"
}This enables semantic linking between:
- RSIF objects;
- vocabulary definitions;
- ontology entities;
- machine-readable imaging semantics.
RSIF examples are NOT intended for:
- diagnosis;
- disease detection;
- disease classification;
- treatment recommendation;
- clinical decision support;
- emergency interpretation;
- replacement of licensed physicians.
Examples represent structured technical imaging data only.
ResetRay semantic ecosystem:
SITE
↓
DOCS
↓
VOCABULARY
↓
RSIF
↓
ONTOLOGY
↓
AI INTEROPERABILITY- rsif-specification
- rsif-vocabulary
- imaging-ontology
- rsif-docs
- imaging-semantics
- dicom-anonymization-notes
Public examples are intended for semantic imaging documentation and AI-readable interoperability only.
Main documentation:
Spine documentation:
https://docs.resetray.ru/opportunistic-ct-spine/
Liver documentation:
https://docs.resetray.ru/opportunistic-ct-liver/
RSIF schema:
https://docs.resetray.ru/rsif/schema.json
Vocabulary:
https://docs.resetray.ru/vocabulary/context.jsonld
Ontology:
https://docs.resetray.ru/ontology/core.ttl
Canonical documentation:
Semantic ecosystem:
https://docs.resetray.ru/ecosystem/
RSIF examples are part of a semantic quantitative imaging infrastructure intended for:
- structured CT/DICOM parameter representation;
- AI-readable imaging workflows;
- semantic imaging interoperability;
- quantitative attenuation documentation;
- machine-readable imaging ecosystems.
The repository does NOT provide medical interpretation or diagnostic conclusions.
CC BY-NC-ND 4.0
This repository contains synthetic public semantic examples only.
Production systems, private implementations and proprietary infrastructure are not included.
COM: https://resetray.com
GitHub Organization: