Pith Number

pith:7YJVVXOX

pith:2025:7YJVVXOXB3KFFDJ2HYUTWJH32E

not attested not anchored not stored refs pending

Joint Reconstruction of Activity and Attenuation in PET by Diffusion Posterior Sampling in Wavelet Coefficient Space

Alexandre Bousse, Antoine De Paepe, Baptiste Laurent, Catherine Cheze-Le-Rest, Cl\'ementine Phung-Ngoc, Dimitris Visvikis, Hong-Phuong Dang, Olivier Saut, Thibaut Merlin

Joint PET activity and attenuation maps can be reconstructed from emission data alone via diffusion posterior sampling in wavelet space.

arxiv:2505.18782 v7 · 2025-05-24 · physics.med-ph

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\usepackage{pith}
\pithnumber{7YJVVXOXB3KFFDJ2HYUTWJH32E}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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

Experimental results on simulated data show our method outperforms maximum likelihood activity and attenuation (MLAA) and MLAA-UNet with U-Net-based post processing, and yields high-quality noise-free reconstructions across various count settings with time-of-flight (TOF).

C2weakest assumption

The pre-trained wavelet diffusion model generalizes to unseen patient anatomies, scanner geometries, and count levels without significant domain shift or retraining.

C3one line summary

A wavelet diffusion model combined with diffusion posterior sampling enables joint 3D activity-attenuation reconstruction in PET from emission data alone, outperforming MLAA on simulated TOF data.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Multilevel Stochastic Plug-and-Play for Sparse-View CT Reconstruction

Receipt and verification

First computed	2026-06-10T01:09:17.685310Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fe135addd70ed4528d3a3e293b24fbd137acc91a90792dd0dbc7cf95e3458dc3

Aliases

arxiv: 2505.18782 · arxiv_version: 2505.18782v7 · doi: 10.48550/arxiv.2505.18782 · pith_short_12: 7YJVVXOXB3KF · pith_short_16: 7YJVVXOXB3KFFDJ2 · pith_short_8: 7YJVVXOX

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/7YJVVXOXB3KFFDJ2HYUTWJH32E \
  | 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: fe135addd70ed4528d3a3e293b24fbd137acc91a90792dd0dbc7cf95e3458dc3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "64a19b9f9a9684bb903e6b2d4e4b0cb9804d8d063e289c187c309b3a05c21dac",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "physics.med-ph",
    "submitted_at": "2025-05-24T16:39:50Z",
    "title_canon_sha256": "79dc3e1039aaaef0d42d62ff3f1aba1314e9d0134bec94f6cfb1527d94bb6bcc"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.18782",
    "kind": "arxiv",
    "version": 7
  }
}