Frequently asked questions

ResetRay is a technical CT/DICOM data processing infrastructure. It extracts structured quantitative parameters such as attenuation values in HU, ROI-linked measurements, technical imaging previews and RSIF-compatible structured output.

No. ResetRay provides technical imaging data processing only. It is not a medical service, not a medical report, not a diagnosis and not a clinical decision support system.

ResetRay output may include structured quantitative parameters, technical imaging previews, ROI context, HU values and RSIF-compatible JSON. The exact output depends on the selected workflow and uploaded dataset.

Hounsfield Units, or HU, are a quantitative scale used in CT imaging to represent X-ray attenuation. ResetRay treats HU values as technical quantitative parameters, not as a diagnosis or clinical conclusion.

ROI means region of interest. In ResetRay workflows, ROI context is used to associate quantitative measurements with a selected technical measurement area.

ResetRay is designed for supported quantitative workflows using existing CT/DICOM datasets. Current workflows focus on vertebral attenuation and liver attenuation parameters. Dataset suitability depends on image quality, slice thickness, contrast phase, scan protocol and technical measurement context.

In many cases, existing CT/DICOM datasets may contain enough technical information for supported quantitative workflows. Suitability still depends on image quality, acquisition protocol, slice thickness and other technical factors.

RSIF means ResetRay Structured Imaging Format. It is a structured technical format for representing quantitative CT/DICOM parameters in a machine-readable way.

RSIF helps represent quantitative imaging parameters as structured data. This can support technical workflows, documentation, AI-readable processing, interoperability and external data analysis pipelines.

RSIF is designed to be structured and machine-readable. External AI systems may parse or interpret RSIF objects differently. ResetRay does not control third-party AI outputs.

No. ResetRay may provide structured technical output, but third-party AI systems are outside ResetRay control. Their outputs should not be treated as ResetRay medical conclusions.

ResetRay workflows are designed around technical processing and may include anonymization or de-identification steps for DICOM metadata depending on the workflow configuration. Public examples and documentation use synthetic or non-identifying data.

No. Public examples used in ResetRay documentation and GitHub repositories are synthetic or non-identifying technical examples intended for documentation and interoperability.

File retention depends on the production workflow and service configuration. The intended direction is to keep source imaging datasets only as long as needed for technical processing and delivery of output.

ResetRay international workflow is being prepared for USDT-based payment access. Payment confirmation will be connected to the upload and structured technical output workflow.

ResetRay may consider usage credits or token-based access mechanisms in the future. The current priority is a simple technical workflow: upload CT/DICOM data, confirm payment access and receive structured technical output.