📘 r_Scaffold.md

Radiology Module Scaffold — TriadicFrameworks Canon#

1. Canonical Metadata#

ai.module: Radiology
ai.version: 1.0
ai.purpose: Radiology subsystem identity + canonical context
ai.keywords: radiology, drift, coherence, contrast, vmri-lite, capture
ai.module.name: r_Scaffold
ai.module.summary: Canonical scaffold for the Radiology module.
ai.module.category: Applied Medicine

2. Session Context#

context-label: Canon
context-value: TriadicFrameworks

context-label: Modules
context-value: Radiology, Medicine, Drift, Coherence, Contrast, VMRI, NIST

context-label: Drift
context-value: Temporal + spatial signal change across captures

context-label: Coherence
context-value: Stability vs collapse of tissue signal

context-label: Contrast
context-value: Chemical behavior (uptake, washout, toxicity)

context-label: Format
context-value: Identity + Context + Grammar + Operators

context-label: Front door
context-value: r_Scaffold.md

context-label: Audience
context-value: Radiologists, students, AI models

3. Badge#

[🩻 Radiology Module — Canonical Scaffold]

4. Module Identity#

Radiology is the TriadicFrameworks subsystem responsible for:

interpreting medical imaging using RTT grammar
quantifying drift, coherence, and contrast
attaching resonance profiles
running VMRI‑Lite predictive simulations
generating RTT overlays for teaching and AI

Radiology is the visibility engine of TriadicFrameworks.

5. Grammar Summary#

Radiology uses five grammar layers:

Capture Grammar#

CAPTURE
FIELD
LAYER
SIGNAL
NOISE
DRIFT‑SIGNAL
COHERENCE‑SIGNAL

Drift Grammar#

DRIFT
DRIFT‑VELOCITY
DRIFT‑VECTOR
DRIFT‑ZONE
DRIFT‑BURST
DRIFT‑DECAY
DRIFT‑NOISE
DRIFT‑MAP

Coherence Grammar#

COHERENCE
COHERENCE‑FIELD
COHERENCE‑BREAK
COHERENCE‑RESTORE
COHERENCE‑MAP
COLLAPSE‑RISK

Contrast Grammar#

UPTAKE
WASHOUT
ENHANCEMENT‑ZONE
FALSE‑UPTAKE
FALSE‑WASHOUT
TOXICITY‑CORRIDOR

VMRI Grammar#

SIM‑START
SIM‑VARIANT
SIM‑CORRIDOR
SIM‑PASS
SIM‑FAIL
SIM‑OPTIMAL

6. Operator Summary#

Radiology operators are grouped by layer:

Capture Operators#

op_field, op_layer, op_signal, op_noise,
op_drift_signal, op_stability, op_enhancement,
op_resonance_attach, op_resonance_predict,
op_vmri_lite, op_overlay

Drift Operators#

op_drift, op_drift_velocity, op_drift_vector,
op_drift_zone, op_drift_burst, op_drift_decay,
op_drift_noise, op_drift_map, op_drift_profile,
op_drift_predict, op_drift_overlay

Coherence Operators#

op_coherence, op_coherence_field, op_coherence_break,
op_coherence_restore, op_coherence_map,
op_coherence_profile, op_coherence_predict,
op_coherence_collapse, op_coherence_overlay

Contrast Operators#

op_uptake, op_washout, op_enhancement_zone,
op_false_uptake, op_false_washout,
op_toxicity_corridor, op_contrast_profile,
op_contrast_predict, op_contrast_map,
op_contrast_overlay

VMRI Operators#

op_vmri_start, op_vmri_variant, op_vmri_batch,
op_vmri_corridor, op_vmri_pass, op_vmri_fail,
op_vmri_optimal, op_vmri_contrast_predict,
op_vmri_tissue_predict, op_vmri_profile,
op_vmri_overlay

7. Canonical Radiology Pipeline#

CAPTURE → FIELD → LAYER → SIGNAL
→ DRIFT → COHERENCE → CONTRAST
→ RESONANCE → VMRI
→ OVERLAY

This pipeline governs every RTT‑Radiology analysis.

8. Pantheon Anchor#

Radiology’s mythic entities:

Void#

Aetherium • Nullis • Quietus

Shadow#

Umbros • Vespera • Fractura

Clarity#

Lucerna • Radiantus • Harmona

Titans#

Tomographos (CT) • Magneta (MRI) • Sonara (US) • Fluorion (PET)

Liminal Spirits#

Iodina • Gadolina • Bariuma • Fluorix
Statera • Vectora • Corridora

These entities help students conceptualize imaging as a dynamic, mythic system.

9. DOC_MAP#

r_Capture.md
r_Drift.md
r_Coherence.md
r_Contrast.md
r_VMRI.md
r_Overlays.md
r_Index.md
r_Pantheon_Profile.md
r_Glyphs.md
r_Scaffold.md
r_Student_Guide.md
r_Tricorder.md

Scaffold Ready#

Your Radiology scaffold page is now complete, canon‑aligned, and ready for GitHub.

Updated Aug 2, 2026