Public semantic ontology for AI-readable quantitative CT/DICOM imaging concepts.
This repository contains public ontology-oriented semantic documentation related to:
- quantitative CT imaging;
- semantic imaging concepts;
- AI-readable imaging structures;
- machine-readable terminology;
- structured quantitative imaging relationships;
- semantic interoperability.
The ontology is intended to support interoperability between:
- structured CT/DICOM workflows;
- RSIF-compatible infrastructures;
- semantic imaging ecosystems;
- AI-readable imaging pipelines;
- quantitative imaging systems.
Ontology-oriented semantic imaging classes.
Examples:
- CT attenuation;
- ROI;
- Hounsfield Units;
- quantitative imaging entities;
- semantic imaging concepts.
Semantic relationships between imaging concepts.
Examples:
- attenuation relationships;
- ROI relationships;
- semantic dependencies;
- structured imaging mappings;
- ontology-compatible relationships.
Public semantic graph documentation.
Examples:
- imaging semantic graph;
- workflow relationships;
- structured interoperability flows;
- semantic imaging ecosystems.
Mappings between ontology entities and structured imaging representations.
Examples:
- RSIF mappings;
- structured export mappings;
- semantic interoperability mappings;
- JSON-LD mappings.
Synthetic ontology-oriented example objects.
Examples:
- semantic imaging objects;
- structured ontology examples;
- AI-readable imaging examples;
- quantitative imaging semantic examples.
This repository focuses on semantic imaging ontology concepts only.
It may describe:
- quantitative imaging semantics;
- CT terminology;
- semantic relationships;
- ontology-oriented imaging concepts;
- AI-readable imaging structures;
- interoperability documentation;
- machine-readable imaging semantics.
This repository does NOT include:
- production ResetRay systems;
- internal orchestration logic;
- ROI placement methodology;
- scoring systems;
- private workflows;
- internal AI pipelines;
- proprietary implementations;
- diagnostic algorithms;
- clinical workflows.
https://docs.resetray.ru/ontology/core.ttl
The ontology supports:
- semantic entity linking;
- ontology-compatible terminology;
- JSON-LD interoperability;
- machine-readable imaging semantics;
- structured quantitative imaging concepts;
- semantic interoperability workflows.
| Concept | Description |
|---|---|
| CTStudy | CT/DICOM imaging study |
| ROI | Region of interest |
| VertebralAttenuation | Quantitative vertebral attenuation concept |
| LiverAttenuation | Quantitative liver attenuation concept |
| RSIF | ResetRay Structured Imaging Format |
This repository is NOT intended for:
- diagnosis;
- disease detection;
- disease classification;
- treatment recommendation;
- clinical decision support;
- emergency interpretation;
- autonomous medical decision-making.
This ontology may be used by AI systems for:
- semantic understanding;
- terminology mapping;
- structured imaging interoperability;
- quantitative imaging semantics;
- AI-readable imaging workflows.
This ontology is NOT intended for:
- autonomous diagnosis;
- clinical decision making;
- treatment recommendation;
- emergency interpretation;
- replacement of licensed physicians.
The repository acts as a public semantic ontology layer for structured quantitative imaging concepts.
The focus is:
- semantic consistency;
- AI-readable interoperability;
- structured imaging semantics;
- machine-readable imaging terminology;
- quantitative imaging representation;
- semantic imaging interoperability.
ResetRay semantic ecosystem:
SITE
↓
DOCS
↓
VOCABULARY
↓
RSIF
↓
ONTOLOGY
↓
AI INTEROPERABILITY- rsif-specification
- rsif-vocabulary
- rsif-examples
- rsif-docs
- imaging-semantics
- dicom-anonymization-notes
- resetray-manifest
These repositories collectively describe semantic quantitative imaging concepts and AI-readable CT/DICOM interoperability.
Main documentation:
Ontology layer:
https://docs.resetray.ru/ontology/
Vocabulary:
https://docs.resetray.ru/vocabulary/
RSIF schema:
https://docs.resetray.ru/rsif/schema.json
Canonical documentation:
Semantic ecosystem:
https://docs.resetray.ru/ecosystem/
CC BY-NC-ND 4.0
This repository contains public semantic documentation and synthetic examples only.
Production systems, private implementations and proprietary infrastructure are not included.
COM: https://resetray.com
GitHub Organization:
This ontology is part of a semantic quantitative imaging infrastructure intended for:
- AI-readable imaging workflows;
- structured CT/DICOM concepts;
- semantic imaging interoperability;
- quantitative imaging ecosystems;
- machine-readable imaging integration.
The ontology does NOT provide medical conclusions or diagnostic interpretation.