{
  "abstract": "Purpose: To introduce and evaluate MuPa-ZTE, a quiet, rapid 3D framework combining native and magnetization-prepared zero echo time (ZTE) acquisitions for multiparametric mapping. Methods: MuPa-ZTE combines steady-state native ZTE with transient-state magnetization-prepared ZTE. Two implementations were evaluated: T2T1-ZTE for apparent proton density, T1, and T2 mapping, and T1-ZTE for apparent proton density and T1 mapping. Both were assessed in an ISMRM/NIST system phantom and two healthy volunteers; T2T1-ZTE was also demonstrated in a patient with brain metastases. The 10-minute phantom and 4.5-minute in vivo acquisitions were retrospectively truncated to 3, 2, and 1 minute and reconstructed with and without deep learning-based denoising. Evaluations included phantom agreement, precision, short-term repeatability, apparent SNR, edge sharpness, and consistency with full-duration in vivo maps. Results: T1 estimates remained close to nominal phantom values across implementations, durations, and reconstructions. T2 accuracy was maintained down to 2 minutes over the brain-relevant range, with limited sensitivity to longer T2 values. Denoising generally reduced variability and improved short-term repeatability. In vivo, 1.1-mm isotropic whole-brain maps were obtained in 4.5 minutes; denoising increased apparent SNR while preserving edge sharpness and yielded promising image quality after retrospective truncation to 2 minutes. Conclusion: MuPa-ZTE enables quiet, isotropic 3D multiparametric mapping within 4.5 minutes, supporting robust T1 mapping and T2 mapping over a brain-relevant range, with promising acceleration toward 2 minutes using deep learning-based denoising.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.01330",
  "author_total": 13,
  "authors": [
    {
      "name": "Alireza Samadifardheris"
    },
    {
      "name": "Shishuai Wang"
    },
    {
      "name": "Ana Beatriz Solana"
    },
    {
      "name": "Jose de Arcos"
    },
    {
      "name": "Noemi Sgambelluri"
    },
    {
      "name": "Emil Langensee Ljungberg"
    },
    {
      "name": "Sagar Mandava"
    },
    {
      "name": "Mika Vogel"
    },
    {
      "name": "Steven C. R. Williams"
    },
    {
      "name": "Stefan Klein"
    },
    {
      "name": "Juan Antonio Hernandez-Tamames"
    },
    {
      "name": "Dirk H. J. Poot"
    },
    {
      "name": "Florian Wiesinger"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/2rp1mjzc81evw.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.01330",
  "fulltext_url": null,
  "id": "2rp1mjzc81evw",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.01330",
  "language": null,
  "licence": "LicenseRef-arXiv-nonexclusive-1.0",
  "licence_label": "arXiv licence",
  "licence_source": "article",
  "licence_url": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
  "metadata_licence": "CC0-1.0",
  "native_subjects": [
    [
      "arxiv",
      "physics.med-ph"
    ],
    [
      "openalex",
      "2741|Advanced MRI Techniques and Applications"
    ]
  ],
  "openalex": "W7215868286",
  "pdf_url": "https://arxiv.org/pdf/2610.01330",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-01",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/2rp1mjzc81evw.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:26:03Z",
      "native_id": "2610.01330",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.01330"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Quiet, rapid 3D multiparametric mapping using magnetization-prepared zero echo time MRI",
  "title_text": "Quiet, rapid 3D multiparametric mapping using magnetization-prepared zero echo time MRI",
  "type": "preprint",
  "updated_at": "2026-10-30T12:26:03Z",
  "url": "https://research.draconitic.com/paper/2rp1mjzc81evw",
  "venue": "arXiv",
  "versions": []
}