📘 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.