{
  "abstract": "Purpose: To develop a multiparametric mapping framework for quantifying fat- and water-specific longitudinal and effective transverse relaxation rates, as well as changes in these parameters induced by a gas challenge. Theory and Methods: The proposed framework, termed SR-Fat DESPOT (single-reference fat-water separated driven equilibrium single-pulse observation of $T_1$), combines a two-component signal model with a single-reference variable flip angle (SR-VFA) approach. The signal model explicitly incorporates gas challenge-induced changes in relaxation rates. The single-reference acquisition strategy reduces data acquisition requirements while preserving sensitivity to both baseline parameters and dynamic changes. Sequence parameters were optimized using Cramer-Rao lower bound theory. SR-Fat DESPOT was evaluated using a modified open-surce abdominal numerical phantom and in two in vivo experiments: a single participant test-retest experiment and a pilot study with six participants. Results: In the abdominal numerical phantom, SR-Fat DESPOT was accurate for quantification of baseline relaxation rates with a normalized median absolute error (nMedAE) <3% for signal-to-noise ratio (SNR) >30 when comparing ground truth and estimates. SR-Fat DESPOT was also able to accurately recover median changes in relaxation rates, with differences within 0.001 $s^-1$ when compared to ground truth. In vivo, SR-Fat DESPOT measured changes in relaxation rates for spleen, kidneys, liver, and muscle under 100% O2 breathing, consistent with reports in literature. Changes detected in the spleen and kidneys were statistically significant across participants. Conclusion: SR-Fat DESPOT can quantify changes in relaxation rates induced by a gas challenge while reducing data requirements compared to more conventional approaches used in MR-oximetry literature.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2610.30793",
  "author_total": 5,
  "authors": [
    {
      "name": "Jorge Campos Pazmiño"
    },
    {
      "name": "Amiel Beausoleil-Morrison"
    },
    {
      "name": "Nathalie Panov"
    },
    {
      "name": "Véronique Fortier"
    },
    {
      "name": "Ives R. Levesque"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7th5bq3bkjbct.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2610.30793",
  "fulltext_url": null,
  "id": "7th5bq3bkjbct",
  "issns": [],
  "landing_url": "https://arxiv.org/abs/2610.30793",
  "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": "W7223268147",
  "pdf_url": "https://arxiv.org/pdf/2610.30793",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-22",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/7th5bq3bkjbct.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:34:34Z",
      "native_id": "2610.30793",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2610.30793"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:physics.med-ph",
      "subfield": "biological-medical"
    }
  ],
  "title": "Advancing oxygen-enhanced MRI acquisition and modelling through dynamic $ΔR_{1}$ and $ΔR_2^*$ sensing",
  "title_text": "Advancing oxygen-enhanced MRI acquisition and modelling through dynamic ΔR_1 and ΔR_2^* sensing",
  "type": "preprint",
  "updated_at": "2026-10-30T12:34:34Z",
  "url": "https://research.draconitic.com/paper/7th5bq3bkjbct",
  "venue": "arXiv",
  "versions": []
}