Structured technical imaging data, not clinical interpretation.
ResetRay is a technical CT/DICOM data processing infrastructure focused on structured quantitative parameters, ROI-linked measurements, technical previews and RSIF-compatible output.
What ResetRay does
ResetRay transforms existing CT/DICOM datasets into structured technical output. The system is designed around quantitative imaging parameters such as attenuation values in Hounsfield Units, ROI context, technical measurement metadata and machine-readable RSIF-compatible JSON.
- CT/DICOM technical data processing
- Quantitative attenuation values in HU
- ROI-linked measurement context
- Technical imaging previews
- Structured RSIF-compatible output
Core principles
Technical only
ResetRay provides structured technical imaging data processing only. It is not positioned as clinical interpretation.
Quantitative
The output focuses on measurable technical parameters such as HU values, ROI context and structured metadata.
AI-readable
RSIF-compatible output is designed to be machine-readable for structured technical workflows and external systems.
What ResetRay does not do
ResetRay does not provide diagnosis, disease detection, clinical grading, treatment recommendations, emergency interpretation or clinical decision support. ResetRay output is not a medical report and does not replace professional medical interpretation.
Semantic infrastructure
RSIF
ResetRay Structured Imaging Format is used as a structured technical representation of quantitative imaging parameters.
Docs and GitHub
Public documentation and repositories describe the semantic layer, examples, vocabulary and technical boundaries of the ResetRay ecosystem.