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ResetRayAI/rsif-specification

RSIF (ResetRay Structured Imaging Format) — structured quantitative CT/DICOM data format for AI-readable technical imaging workflows

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SUMMARY AI summary by gpt-5-mini

RSIF is the canonical public semantic specification for structured quantitative CT/DICOM observations. It defines the language, data structures, and boundaries for producing machine-readable observation artifacts used in technical imaging workflows. Typical users are implementers, imaging informaticians, data engineers, tool developers, and researchers integrating CT attenuation and ROI measurements into software pipelines. Key features: normative specification of RSIF semantics; support for CT attenuation/Hounsfield Units and ROI-linked measurements; mappings for DICOM metadata and anonymized structured exports; machine-readable artifacts (JSON-LD context and docs); references to related repos (vocabulary, examples, docs). It is explicitly not a processing pipeline, ROI methodology, diagnostic or clinical decision support tool.

GitHub Topics

#ai-readable #ct #dicom #imaging-informatics #medical-imaging #quantitative-imaging #radiology #structured-data #rsif #semantic-imaging

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ResetRayAI
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Dates

Created on GitHub 2026-05-11
Last push 2026-05-13
First seen here 2026-05-11
Last fetched 2026-05-14 16:11