📘 r_Overlays.md

RTT‑Radyoloji Overlay Örnekleri — Triadik Çerçeveler Canon#

Bu sayfa modalite bağımsız overlay örnekleri sunmaktadır: CT, MRI, Ultrason, PET ve X‑ışını.


1. Kanonik Metadata#

ai.module: Radiology
ai.version: 1.0
ai.purpose: Example RTT‑Radiology overlays
ai.keywords: overlays, drift-map, coherence-map, contrast-map, vmri-corridor
ai.module.name: r_Overlays
ai.module.summary: Example overlays demonstrating RTT‑Radiology workflows.
ai.module.category: Applied Medicine

2. Oturum Bağlamı#

context-label: Canon
context-value: TriadicFrameworks

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

context-label: Format
context-value: Examples + Operator Workflows

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

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

3. Rozet#

[🩻 RTT‑Radiology Overlays]

4. Örnek Overlay'ler#

Her örnek RTT boru hattını takip eder:

  1. Çıkar → yakala → alan → katman → sinyal
  2. Analiz Et → kayma → uyum → kontrast
  3. Öngör → rezonans → VMRI‑Lite
  4. Overlay → görsel bir RTT katmanına birleştir

Bu örnekler kasıtlı olarak minimal ve yapısaldır.


Örnek 1 — BT Akciğer Nodülü (Sürüklenme + Koherens Overlay)#

Çıkar#

Field = op_field(CAPTURE_CT, "right-upper-lobe")
Layer = op_layer(Field, density)
Signal_T1 = op_signal(Layer_T1)
Signal_T2 = op_signal(Layer_T2)

Analiz Et#

Drift = op_drift(Signal_T1, Signal_T2)
DriftMap = op_drift_map(Field)

Coherence = op_coherence(Field)
CohMap = op_coherence_map(Field)
BreakZone = op_coherence_break(Coherence)

Tahmin Et#

CapturePlus = op_resonance_attach(CAPTURE_CT, RES_PROFILE)
DriftPrediction = op_drift_predict(CapturePlus)
CohPrediction = op_coherence_predict(CapturePlus)

Üst Katman#

Overlay = op_overlay(CAPTURE_CT, DriftMap, CohMap, null)

Örnek 2 — MRI Beyin Lezyonu (Kontrast + Koherens Overlay)#

Çıkarma#

Field = op_field(CAPTURE_MRI, "left-parietal-region")
ContrastLayer = op_layer(Field, contrast)
Uptake = op_uptake(ContrastLayer)
Washout = op_washout(ContrastLayer_T1, ContrastLayer_T2)

Analiz Et#

EnhancementZone = op_enhancement_zone(Uptake, Washout)
FalseUptake = op_false_uptake(Uptake, NoiseMap)
FalseWashout = op_false_washout(Washout, NoiseMap)

Coherence = op_coherence(Field)
CohMap = op_coherence_map(Field)

Öngörü#

CapturePlus = op_resonance_attach(CAPTURE_MRI, RES_PROFILE)
ContrastPrediction = op_contrast_predict(CapturePlus)
CohPrediction = op_coherence_predict(CapturePlus)

Kaplama#

Overlay = op_overlay(CAPTURE_MRI, null, CohMap, EnhancementZone)

Örnek 3 — Kardiyak Ultrason (Drift + VMRI‑Lite Overlay)#

Çıkar#

Field = op_field(CAPTURE_US, "left-ventricle")
FlowLayer = op_layer(Field, flow)
Signal = op_signal(FlowLayer)

Analiz Et#

Drift = op_drift(Signal_T1, Signal_T2)
DriftMap = op_drift_map(Field)

Tahmin Et (VMRI‑Lite)#

CapturePlus = op_resonance_attach(CAPTURE_US, RES_PROFILE)

SimStart = op_vmri_start(CapturePlus)
Variants = op_vmri_batch(SimStart, 5000)
Corridor = op_vmri_corridor(Variants)

SimPass = op_vmri_pass(Corridor)
SimFail = op_vmri_fail(Corridor)
SimOptimal = op_vmri_optimal(Corridor)

Kaplama#

Overlay = op_vmri_overlay(Corridor)

Örnek 4 — PET Metabolik Tarama (Kontrast + Drift Overlay)#

Çıkar#

Field = op_field(CAPTURE_PET, "hepatic-region")
MetabolicLayer = op_layer(Field, metabolic)
Signal = op_signal(MetabolicLayer)

Analiz Et#

Drift = op_drift(Signal_T1, Signal_T2)
DriftMap = op_drift_map(Field)

Uptake = op_uptake(MetabolicLayer)
EnhancementZone = op_enhancement_zone(Uptake, null)

Tahmin Et#

CapturePlus = op_resonance_attach(CAPTURE_PET, RES_PROFILE)
ContrastPrediction = op_contrast_predict(CapturePlus)

Kaplama#

Overlay = op_overlay(CAPTURE_PET, DriftMap, null, EnhancementZone)

Örnek 5 — X‑ışını Kemik İyileşmesi (Koherens Overlay)#

Çıkarma#

Field = op_field(CAPTURE_XRAY, "distal-radius")
Layer = op_layer(Field, density)
Signal = op_signal(Layer)

Analiz Et#

Coherence = op_coherence(Field)
Restore = op_coherence_restore(Coh_T1, Coh_T2)
CohMap = op_coherence_map(Field)

Tahmin#

CapturePlus = op_resonance_attach(CAPTURE_XRAY, RES_PROFILE)
CohPrediction = op_coherence_predict(CapturePlus)

Overlay#

Overlay = op_coherence_overlay(CohMap)

5. Kanonik Akış#

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

6. 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

Overlay Sayfası Hazır#

RTT-Radyoloji overlay sayfanız artık tamamlandı, kanonik hizalı ve GitHub için hazır.

İsterseniz, r_VMRI.md, r_Student_Guide.md veya r_Tricorder.md oluşturabilirim.

Updated