L1 ⚛ L1-035 ⊙ Testnet

Fluoroscopy (real-time X-ray)

Medical Imaging · Live X-ray imaging with image intensifier / flat panel

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You are helping me submit a MODIFICATION of L1-035 (Fluoroscopy (real-time X-ray)) to the PWM Protocol — a Principle (L1) artifact.

I will paste a Markdown template (or the current L1-035.md).
1. Rewrite the Markdown so the science is correct and clearly explained for my change.
2. Regenerate the sibling L1-035.json so EVERY field matches the Markdown.
3. Keep the schema in the "File Mapping" footer at the bottom of the MD.
4. Keep the parent reference unchanged unless I ask otherwise.
Rules: the Markdown is the source of truth; use SI units; do NOT invent benchmark scores.
Output each file in its own fenced code block tagged with the filename.

Here is my template:
[PASTE THE .md HERE]

⚙ Forward Model

y = ∫_A dA `D.image_intensifier` exp(-∫µ dl) I₀(E) x,    measurements ~ Poisson(αy)

world state x (2D attenuation projection)

→

X-ray source I₀(E)

→

Beer-Lambert attenuation exp(-∫µ dl)

→

D · image intensifier `D.image_intensifier`

→

Spatial integration ∫_A dA

→

observation y (x ray detector)

Noise: Poisson shot noise from quantum-limited detection

Markdown — human-readable source of truth

⚙ auto-generated

⬇ L1-035.md

# ⚛ L1 Principle — Fluoroscopy (real-time X-ray) **ID:** `L1-035` · **Status:** ⊙ Testnet (genesis catalog) > **🌐 Domain:** Medical Imaging — *Live X-ray imaging with image intensifier / flat panel* > **🎯 Problem class:** linear inverse · **🧮 Solution space:** 2D attenuation projection > **📡 Carrier:** x_ray · **🌫 Noise:** shot poisson > **⚖ Difficulty (δ):** 3 · **⛓ Block:** 41553371 --- ## 🧠 1. Introduction **Fluoroscopy (real-time X-ray)** is a **linear inverse problem** whose unknown lives in **2D attenuation projection** space, within the **Live X-ray imaging with image intensifier / flat panel** sub-domain of **Medical Imaging**. Measurements consist of X-ray photons transmitted through (or scattered by) the sample via a **xray projection** sensing mechanism. The forward operator applies, in order: polyenergetic X-ray emission spectrum; exponential attenuation along the propagation path; D · image intensifier operator; pixel-level spatial averaging on the detector. Observations are corrupted by Poisson shot noise from quantum-limited detection. Existence of the recovered 2D attenuation projection is guaranteed within the declared Omega bounds. Uniqueness holds on the measurement-supported subspace; out-of-support modes are controlled by the declared priors. Stability is moderately conditioned (kappa_eff ~= 10); scatter dominates the stability cliff; frame_rate_limits and the remaining mismatch parameters contribute higher-order bias terms. Photon-shot-noise-limited (poisson counting) sets the irreducible data-fidelity floor, while mild Tikhonov or analytic inversion is sufficient at the nominal Omega point. ## ⚙ 2. Forward Model Physical chain: **x** → X-ray source → Beer-Lambert attenuation → D · image intensifier → Spatial integration → **y** (detector). ``` y = ∫_A dA `D.image_intensifier` exp(-∫µ dl) I₀(E) x, measurements ~ Poisson(αy) ``` **Measurement DAG:** | Primitive | What it does | |---|---| | `L.xray_source` | Polyenergetic x-ray emission spectrum | | `L.beer_lambert` | Exponential attenuation along the propagation path | | `D.image_intensifier` | D · image intensifier operator | | `int.spatial` | Pixel-level spatial averaging on the detector | ## 🔬 3. Physics Fingerprint | Property | Value | |---|---| | Domain | Medical Imaging | | Sub domain | Live X-ray imaging with image intensifier / flat panel | | Carrier | x_ray | | Problem class | linear_inverse | | Solution space | 2D_attenuation_projection | | Noise model | shot_poisson | | Integration axis | spatial | | Difficulty delta | 3 | | L dag | 2.8 | ## 📡 4. Measurement Model Existence of the recovered 2D attenuation projection is guaranteed within the declared Omega bounds. Uniqueness holds on the measurement-supported subspace; out-of-support modes are controlled by the declared priors. Stability is moderately conditioned (kappa_eff ~= 10); scatter dominates the stability cliff; frame_rate_limits and the remaining mismatch parameters contribute higher-order bias terms. Photon-shot-noise-limited (poisson counting) sets the irreducible data-fidelity floor, while mild Tikhonov or analytic inversion is sufficient at the nominal Omega point. | Metric | Value | |---|---| | Metric | PSNR_dB | | Secondary | SSIM | ## 📏 5. Operating Range (Ω) **Center problem class:** `fluoroscopy` · **Forward operator:** `fluoroscopy_forward` **Center point:** | Parameter | Unit | Value | |---|---|---| | H | px | 1024 | | W | px | 1024 | | Fps | — | 30 | | Kvp | — | 80 | | Scatter | — | 0.1 | | Pixel um | µm | 200 | | Low dose noise | — | 0 | | Dose rate ugy per s | s | 0.5 | | Pincushion distortion | — | 0 | **Allowed bounds:** | Parameter | Unit | Range | |---|---|---| | H | px | 256 | | W | px | 256 | | Fps | — | 10 – 60 | | Kvp | — | 60 – 120 | | Scatter | — | 0.0 – 0.4 | | Pixel um | µm | 100 – 500 | | Low dose noise | — | 0.0 – 0.3 | | Frame rate limits | — | 0.0 – 0.5 | | Dose rate ugy per s | s | 0.1 – 10 | | Pincushion distortion | — | 0.0 – 0.1 | ## 🎯 6. Tolerance (ε) **Center tolerance:** 26.0 | Metric | Range | |---|---| | Psnr db | 5.0 – 45.0 | ## ⚖ 7. Hardness Function Hardness scales as **`epsilon_fn`** on **PSNR_dB**, with κ = `200` and δ = `3`. ## 💾 8. Reference Dataset - **primary** · weight 1.0 · IPFS _(not pinned yet)_ ## 9. On-chain Registration - **Chain hash:** `0x7632b7d44ea0df4fc0319b9d4dc8322b32576ece9110e4566309deebe3ae0761` - **Chain tx hash:** `0x3a3546d0c37aaa2ce4f9b6fb30d4d95789c95c72b21e3c3dd8da3f9d9cb23f6f` - **Chain block:** `41553371` --- ## File Mapping This bundle consists of: `L1-035.md`, `L1-035.json`. | File | Role | How to regenerate | |------|------|-------------------| | `L1-035.md` | Source of truth — edit this | Human or LLM | | `L1-035.json` | Structured metadata for the registry | LLM regenerates from the sections above | **Prompt for your LLM after editing this Markdown:** > Read the attached Markdown. Regenerate the sibling `.json` so every field matches. > Preserve the schema documented in the rows above. > Output each file in its own fenced code block tagged with the filename. > Output only the JSON object. _This Markdown was auto-synthesized from the catalog row for `L1-035`._ _Edit it, regenerate the JSON, and submit at [/submit](/submit) to claim the artifact._

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L2-035-001 Fluoroscopy (real-time X-ray) Mismatch-Only Spec

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📋 JSON metadata

{
  "artifact_id": "L1-035",
  "chain_block": 41553371,
  "chain_hash": "0x7632b7d44ea0df4fc0319b9d4dc8322b32576ece9110e4566309deebe3ae0761",
  "chain_tx_hash": "0x3a3546d0c37aaa2ce4f9b6fb30d4d95789c95c72b21e3c3dd8da3f9d9cb23f6f",
  "domain": "Medical Imaging",
  "hardness_fn": {
    "delta": 3,
    "kappa": 200,
    "metric": "PSNR_dB",
    "type": "epsilon_fn"
  },
  "initiator_dataset": [
    {
      "ipfs_cid": null,
      "license_hash": null,
      "name": "primary",
      "weight": 1.0
    }
  ],
  "layer": "L1",
  "observable_profile": {
    "metric": "PSNR_dB",
    "regime": "Existence of the recovered 2D attenuation projection is guaranteed within the declared Omega bounds. Uniqueness holds on the measurement-supported subspace; out-of-support modes are controlled by the declared priors. Stability is moderately conditioned (kappa_eff ~= 10); scatter dominates the stability cliff; frame_rate_limits and the remaining mismatch parameters contribute higher-order bias terms. Photon-shot-noise-limited (poisson counting) sets the irreducible data-fidelity floor, while mild Tikhonov or analytic inversion is sufficient at the nominal Omega point.",
    "secondary": "SSIM"
  },
  "physics_fingerprint": {
    "L_DAG": 2.8,
    "carrier": "x_ray",
    "difficulty_delta": 3,
    "domain": "Medical Imaging",
    "integration_axis": "spatial",
    "noise_model": "shot_poisson",
    "primitives": [
      "L.xray_source",
      "L.beer_lambert",
      "D.image_intensifier",
      "int.spatial"
    ],
    "problem_class": "linear_inverse",
    "sensing_mechanism": "xray_projection",
    "solution_space": "2D_attenuation_projection",
    "sub_domain": "Live X-ray imaging with image intensifier / flat panel",
    "title": "Fluoroscopy (real-time X-ray)"
  },
  "size_tiers": {
    "allowed_forward_operators": [
      "fluoroscopy_forward"
    ],
    "allowed_omega_dimensions": [
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      "W",
      "fps",
      "kVp",
      "dose_rate_uGy_per_s",
      "pixel_um",
      "scatter",
      "low_dose_noise",
      "pincushion_distortion",
      "scatter",
      "frame_rate_limits",
      "low_dose_noise",
      "pincushion_distortion"
    ],
    "allowed_problem_classes": [
      "fluoroscopy"
    ],
    "center_spec": {
      "epsilon_fn_center": "26.0",
      "forward_operator": "fluoroscopy_forward",
      "input_format": "measurement_only",
      "omega": {
        "H": 1024,
        "W": 1024,
        "dose_rate_uGy_per_s": 0.5,
        "fps": 30,
        "kVp": 80,
        "low_dose_noise": 0.0,
        "pincushion_distortion": 0.0,
        "pixel_um": 200,
        "scatter": 0.1
      },
      "problem_class": "fluoroscopy"
    },
    "epsilon_bounds": {
      "psnr_db": [
        5.0,
        45.0
      ]
    },
    "omega_bounds": {
      "H": 256,
      "W": 256,
      "dose_rate_uGy_per_s": [
        0.1,
        10
      ],
      "fps": [
        10,
        60
      ],
      "frame_rate_limits": [
        0.0,
        0.5
      ],
      "kVp": [
        60,
        120
      ],
      "low_dose_noise": [
        0.0,
        0.3
      ],
      "pincushion_distortion": [
        0.0,
        0.1
      ],
      "pixel_um": [
        100,
        500
      ],
      "scatter": [
        0.0,
        0.4
      ]
    }
  },
  "staked_pwm": 0.0,
  "status": "testnet",
  "sub_domain": "Live X-ray imaging with image intensifier / flat panel",
  "title": "Fluoroscopy (real-time X-ray)"
}

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