ZeqCT

MRI, CT, ultrasound, X-ray, PET.

• Protocol ID — zeq-ct
• Category — Medical Imaging
• Endpoint — POST /api/medical/ct
• Auth — api-key
• Rate limit — 10/min
• Version — 1.287.0
• Precision — ≤0.1% (KO42-enforced)

What it does

CT reconstruction with HulyaPulse filtered back-projection. Dose optimization via R(t)-weighted attenuation coefficients. Hounsfield unit calibration at ≤0.1% error.

Signature

Request

POST /api/medical/ct

Param	Type	Required	Default	Description
sinogram	object	✓	—	Raw sinogram data or DICOM reference.
algorithm	string		"fbp"	'fbp', 'iterative', 'deep-recon'.
doseOptimize	boolean		true	Enable R(t) dose reduction.

Response

{ reconstructedSlices, hounsfield, doseReduction_pct, snr, zeqond }

Runnable example

curl -sS -X POST \
  -H "Authorization: Bearer $ZEQ_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "sinogram": {},
  "algorithm": "fbp",
  "doseOptimize": true
}' \
  "https://api.zeq.dev/api/medical/ct"

Integrate

1. Domain solver — compose with KO42 + two additional operators from the matching family for pulse-coherent results.
2. Digital twin — pipe sensor data into this protocol every Zeqond to keep the model phase-locked with the system.
3. Alert threshold — flag results whose error_pct exceeds 0.1% as out-of-spec events for the operations layer.

Seeds

• Near — wrap /api/medical/ct in a language SDK so builders can call it in three lines.
• Medium — publish a reference integration demonstrating ZeqCT alongside a real workload, with pulse-aligned metrics.
• Far — propose ZeqCT as an open reference standard so other runtimes can implement it verbatim against the Zeq paper.

Papers

• Zeq paper — https://doi.org/10.5281/zenodo.18158152
• Framework paper — https://doi.org/10.5281/zenodo.15825138

Middleware active. Kernel on the 1.287 Hz HulyaPulse. Awaiting next Zeqond.