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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>ResetRayAI — RSIF Semantic Documentation Portal</title>
<meta name="description" content="ResetRay Platform powered by SigmaBaksel Engine. Semantic documentation portal for RSIF, AI-readable quantitative CT/DICOM imaging data, ontology, vocabulary, examples and anonymization concepts." />
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<meta name="author" content="ResetRayAI" />
<link rel="canonical" href="https://resetrayai.github.io/" />
<meta property="og:title" content="ResetRayAI — RSIF Semantic Documentation Portal" />
<meta property="og:description" content="ResetRay Platform powered by SigmaBaksel Engine. Semantic infrastructure for AI-readable quantitative CT/DICOM imaging data and RSIF documentation." />
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<meta property="og:url" content="https://resetrayai.github.io/" />
<meta property="og:site_name" content="ResetRayAI" />
<meta name="twitter:card" content="summary_large_image" />
<meta name="twitter:title" content="ResetRayAI — RSIF Semantic Documentation Portal" />
<meta name="twitter:description" content="ResetRay Platform powered by SigmaBaksel Engine. AI-readable semantic documentation for RSIF and quantitative CT/DICOM imaging concepts." />
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</head>
<body>
<main class="wrap">
<section class="hero">
<h1>ResetRayAI Semantic Documentation Portal</h1>
<p class="tagline">
ResetRay Platform
Powered by SigmaBaksel Engine
From Images to Structured Signal
</p>
<p class="tagline">
ResetRay Platform is powered by SigmaBaksel Engine.
</p>
<p class="tagline">
SigmaBaksel Engine evolved from earlier internal processing prototypes collectively referred to as AngioBaksel.
</p>
<p class="tagline">
While AngioBaksel explored the concept of transforming imaging data into structured signal, SigmaBaksel Engine represents the current generation of the processing architecture used by ResetRay Platform today.
</p>
</section>
<section>
<h2>RSIF — ResetRay Structured Imaging Format</h2>
<p>
RSIF is a public semantic documentation initiative by ResetRay for structured
quantitative CT/DICOM data and AI-readable technical imaging workflows.
</p>
<p>
Canonical architecture:
</p>
<pre>CT/DICOM
↓
SigmaBaksel Engine
↓
Structured Signal
↓
RSIF
↓
Health Apps / AI / Software</pre>
<div class="notice">
This portal contains public documentation only. It does not expose production
pipelines, ROI methodology, validation systems, orchestration logic, GPT prompts,
backend code or proprietary implementation details.
</div>
</section>
<section>
<h2>Semantic Flow Map</h2>
<div class="diagram">
<img src="diagrams/dicom-to-rsif-flow.svg" alt="DICOM to ROI to RSIF to AI-readable semantic flow" />
</div>
</section>
<section>
<h2>Anonymization Flow</h2>
<div class="diagram">
<img src="diagrams/anonymization-flow.svg" alt="DICOM anonymization and structured export semantic flow" />
</div>
</section>
<section>
<h2>Ontology Graph</h2>
<div class="diagram">
<img src="diagrams/ontology-graph.svg" alt="RSIF ontology graph for CT attenuation, ROI, HU and structured export" />
</div>
</section>
<section>
<h2>Ecosystem Navigation</h2>
<div class="grid">
<div class="card"><h3><a href="https://github.com/ResetRayAI/resetray-manifest">ResetRay Manifest</a></h3><p>Canonical semantic identity and ecosystem manifest.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/rsif-specification">RSIF Specification</a></h3><p>Public semantic specification for RSIF.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/rsif-vocabulary">RSIF Vocabulary</a></h3><p>Bilingual semantic vocabulary for AI-readable CT/DICOM terminology.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/rsif-examples">RSIF Examples</a></h3><p>Synthetic public RSIF example objects.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/rsif-docs">RSIF Docs</a></h3><p>Public documentation for semantic imaging concepts.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/imaging-semantics">Imaging Semantics</a></h3><p>Semantic terminology and AI-readable concepts for quantitative imaging workflows.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/imaging-ontology">Imaging Ontology</a></h3><p>Public semantic ontology for AI-readable quantitative CT/DICOM concepts.</p></div>
<div class="card"><h3><a href="https://github.com/ResetRayAI/dicom-anonymization-notes">DICOM Anonymization Notes</a></h3><p>Public notes on DICOM anonymization and structured imaging de-identification.</p></div>
</div>
</section>
<section>
<h2>Technical Boundary</h2>
<p>ResetRayAI public documentation is not intended for:</p>
<ul>
<li>diagnosis;</li>
<li>disease detection;</li>
<li>disease classification;</li>
<li>treatment recommendation;</li>
<li>clinical decision support;</li>
<li>emergency interpretation.</li>
</ul>
</section>
<section>
<h2>Canonical Links</h2>
<ul>
<li><a href="https://github.com/ResetRayAI">GitHub Organization</a></li>
<li><a href="https://resetray.ru">ResetRay RU</a></li>
<li><a href="https://resetray.com">ResetRay COM</a></li>
</ul>
</section>
<footer class="footer">
ResetRayAI — semantic infrastructure for AI-readable imaging data.
</footer>
</main>
</body>
</html>