{
  "abstract": "Slice-to-volume reconstruction (SVR) is the standard method for obtaining high-resolution (HR) 3D fetal brain volumes from motion-corrupted 2D MRI slice stacks acquired in multiple orientations. Existing SVR methods are optimized and validated only for clinical-range echo times (TEs), limiting their use at non-clinical TEs and making them incompatible with quantitative T2 mapping, a protocol- and center-independent biomarker of fetal brain maturation requiring HR reconstructions across multiple TEs. We present PRIME-SVR, the first implicit neural representation (INR) framework for joint HR reconstruction from multi-echo MRI. A single fully connected network models a continuous function from spatial coordinates to signal intensities across TEs, while a second network estimates slice-specific acquisition degradations. Cross-TE coherence is enforced via a Bloch equation-derived regularization penalizing deviations from expected T2 decay, with adaptive weighting that strengthens coupling for degraded stacks. The method is fully self-supervised. We validate PRIME-SVR on 39 in vivo fetal acquisitions (13 subjects x 3 TEs) from two centers, two vendors, and two field strengths (1.5 T and 0.55 T). Compared to state-of-the-art SVR, PRIME-SVR improves reconstruction sharpness by 47%, anatomical accuracy by 30%, and cross-TE structural consistency by 14%. It enables reconstruction at late TEs previously inaccessible to SVR, yielding the first 0.8 mm isotropic T2 maps at 0.55 T and the first T2 maps derived from INR-based SVR. PRIME-SVR also accelerates quantitative imaging by reducing the data needed for multi-TE reconstruction, cutting acquisition from 15 to 10 minutes while keeping T2 accuracy within 1.7% in white and deep gray matter, or to 5 minutes with a mean T2 error of 2.3% for high-quality acquisitions.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2607.20136",
  "author_total": 17,
  "authors": [
    {
      "name": "Busra Bulut"
    },
    {
      "name": "Maik Dannecker"
    },
    {
      "name": "Thomas Sanchez"
    },
    {
      "name": "Sara Neves Silva"
    },
    {
      "name": "Steven Jia"
    },
    {
      "name": "Jean-Baptiste Ledoux"
    },
    {
      "name": "Leo Pomar"
    },
    {
      "name": "Joanna Sichitiu"
    },
    {
      "name": "Yvan Gomez"
    },
    {
      "name": "Meriam Koob"
    },
    {
      "name": "Vincent Dunet"
    },
    {
      "name": "Maria Deprez"
    },
    {
      "name": "Guillaume Auzias"
    },
    {
      "name": "Francois Rousseau"
    },
    {
      "name": "Jana Hutter"
    },
    {
      "name": "Daniel Rueckert"
    },
    {
      "name": "Meritxell Bach Cuadra"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/31hwjgd14tdqy.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2607.20136",
  "fulltext_url": null,
  "id": "31hwjgd14tdqy",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2607.20136",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "cs.AI"
    ],
    [
      "arxiv",
      "physics.med-ph"
    ],
    [
      "openalex",
      "2741|Advanced MRI Techniques and Applications"
    ]
  ],
  "openalex": "W7170174228",
  "pdf_url": "https://arxiv.org/pdf/2607.20136",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-09",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/31hwjgd14tdqy.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:12Z",
      "native_id": "2607.20136",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2607.20136"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping",
  "title_text": "PRIME-SVR: Physics-infoRmed Implicit Multi-Echo Slice-to-Volume Reconstruction for Fetal T2 mapping",
  "type": "preprint",
  "updated_at": "2026-10-30T12:20:12Z",
  "url": "https://research.draconitic.com/paper/31hwjgd14tdqy",
  "venue": "arXiv",
  "versions": []
}