Pith Number

pith:IIULB3LN

pith:2025:IIULB3LN74VJUE6FCJUWVJSPQM

not attested not anchored not stored refs pending

Efficient Image-to-Image Schr\"odinger Bridge for CT Field of View Extension

Haijun Yu, Hongbin Han, Jiazhou Wang, Long Yang, Song Ni, Weigang Hu, Xiaojie Yin, Yixing Huang, Zhenhao Li

An image-to-image Schrödinger Bridge learns direct stochastic mappings from limited-FOV to extended-FOV CT scans.

arxiv:2508.11211 v3 · 2025-08-15 · eess.IV · cs.CV

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\usepackage{pith}
\pithnumber{IIULB3LN74VJUE6FCJUWVJSPQM}

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

I²SB achieves superior quantitative performance, with root-mean-square error (RMSE) values of 49.8 HU on simulated noisy data and 152.0 HU on real data, outperforming state-of-the-art diffusion models such as cDDPM and patch-based diffusion methods. Moreover, its one-step inference enables reconstruction in just 0.19 s per 2D slice, representing over a 700-fold speedup compared to cDDPM (135 s).

C2weakest assumption

The method assumes that paired limited-FOV and extended-FOV training images are available and that the learned stochastic mapping generalizes to unseen patient anatomies and scanner geometries without introducing hallucinated structures; this premise is stated in the abstract description of the direct correspondence but is not independently validated in the provided text.

C3one line summary

An I²SB diffusion model for CT FOV extension delivers RMSE of 49.8 HU on simulated data and 152.0 HU on real data with 0.19 s per-slice inference, over 700 times faster than cDDPM.

Receipt and verification

First computed	2026-06-19T16:11:12.285575Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

4228b0ed6dff2a9a13c512696aa64f833c996070b22187d722d471abdffc981a

Aliases

arxiv: 2508.11211 · arxiv_version: 2508.11211v3 · doi: 10.48550/arxiv.2508.11211 · pith_short_12: IIULB3LN74VJ · pith_short_16: IIULB3LN74VJUE6F · pith_short_8: IIULB3LN

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/IIULB3LN74VJUE6FCJUWVJSPQM \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4228b0ed6dff2a9a13c512696aa64f833c996070b22187d722d471abdffc981a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f626514e1412668f7eb702a05e607431d9431d09390eff1ec334d3e4b655017e",
    "cross_cats_sorted": [
      "cs.CV"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "eess.IV",
    "submitted_at": "2025-08-15T04:41:05Z",
    "title_canon_sha256": "ca8728b86965c7ce89793cd8cf559c4878e7e042dfd4486e63fa4589c42bf4a1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.11211",
    "kind": "arxiv",
    "version": 3
  }
}