AI-readable technical imaging infrastructure

Turn CT/DICOM data into structured technical output

Upload existing CT/DICOM datasets and receive a technical imaging preview, quantitative HU/ROI parameters and RSIF-compatible structured JSON through a secure status and result-link workflow.

Automatic anonymization • Technical CT/DICOM measurements • Structured output • Not medical diagnosis

Technical Preview RSIF-ready result
ResetRay technical CT preview
Preview PNG
Measurements HU / ROI
Export RSIF

Simple result-link workflow

ResetRay uses a lightweight MVP flow: upload data, pay with USDT, save the generated status link, and return later to open the published technical result.

1

Upload CT/DICOM

Select a CT/DICOM folder, individual DICOM files or ZIP archive through the upload page.

2

Pay with USDT

Choose TRC20 or Polygon, send USDT to the generated wallet address and submit the TX hash.

3

Save status link

Download the access note file containing your Order ID and secure status page link.

4

Open result

When processing is completed, the status page displays the secure result link.

Status page instead of account registration

For MVP, ResetRay avoids heavy account registration. The user receives an Order ID, a status page link and a downloadable access note. The status page becomes the stable place to check whether the result is ready.

Order ID Status link Access note .txt Secure result URL
Example status page Auto refresh
Payment paid
Processing completed
Result published
Action Open result

How ResetRay works

A minimal technical flow from CT/DICOM input to structured export for external machine-readable workflows.

CT/DICOM upload

Quantitative extraction

HU · ROI · Quantitative data

RSIF

Structured JSON-LD

Optional CT Signature

Experimental profile

Machine-readable export

External AI workflows

Optional layer

Technical quantitative processing only.
Non-diagnostic.
External AI outputs are not controlled by ResetRay.

Vertebral attenuation workflow

Structured technical extraction of vertebral body attenuation values in HU from ROI-linked CT datasets.

Vertebral HU HU values ROI context RSIF JSON
10 USDT

Liver attenuation workflow

Structured technical extraction of hepatic attenuation values in HU with technical measurement context.

Liver attenuation Reference ROI Structured fields RSIF JSON
10 USDT
Example Result Technical output
Example ResetRay output

Result page with PNG preview and RSIF file

The published result page shows the technical preview image and structured result access. RSIF JSON is available as a downloadable and copyable technical file rather than a medical report.

JSON
rsif.json Structured technical imaging object
Copy / Download
PNG
technical-preview.png Visual preview with measurement context
View

No diagnosis

ResetRay output is technical imaging data only and does not determine disease, diagnosis or health status.

No clinical advice

The service does not provide treatment recommendations, urgent interpretation or clinical decision support.

AI-readable output

RSIF is designed as a structured technical object for downstream AI-readable workflows and documentation.

Live upload workflow

Start with existing CT/DICOM data

Create an order, upload files, choose USDT network, submit TX hash and save your status page link.

Upload → Pay → Save status link → Open result

After order creation, ResetRay generates a status page link and downloadable access note. Keep them until your result is published.

Technical-only scope

ResetRay provides technical imaging data processing only. ResetRay output is not a medical report, diagnosis, disease detection, treatment recommendation, emergency interpretation or clinical decision support. External AI systems may interpret structured RSIF objects differently. ResetRay does not control third-party AI outputs.

Upcoming optional structured layer

CT Signature profile

Optional experimental structured quantitative profile derived from available CT/DICOM regions. CT Signature is designed as an optional structured profile layer built on top of RSIF/modules.

Experimental quantitative profile RSIF-based structured layer Not a diagnosis Not a risk score Not a health score Not a medical conclusion