Qualitative and quantitative assessment of accelerated liver diffusion-weighted imaging using deep-learning reconstruction in oncologic patients

Authors

Jessica Winfield (ORCID: https://orcid.org/0000-0001-6069-5252)
Thomas Benkert (ORCID: https://orcid.org/0000-0002-3794-5580)
Emily Evans (ORCID: https://orcid.org/0000-0002-1027-5441)
Dow‐Mu Koh (ORCID: https://orcid.org/0000-0001-7654-8011)
Joshua Shur (ORCID: https://orcid.org/0000-0002-4569-4785)
Georgina Hopkinson (ORCID: https://orcid.org/0000-0003-4967-8886)
Elisabeth Weiland (ORCID: https://orcid.org/0000-0001-7517-1291)
Mihaela Rata (ORCID: https://orcid.org/0000-0003-4999-8038)
Francesca Castagnoli (ORCID: https://orcid.org/0000-0003-2407-7451)

Institutions

Royal Marsden NHS Foundation Trust (GB)
Institute of Cancer Research (GB)
Siemens Healthineers (Germany) (DE)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-11-26
DOI: https://doi.org/10.1186/s12880-025-02030-3
Primary Topic: MRI in cancer diagnosis
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Royal Marsden NHS Foundation Trust
Cancer Research UK
National Institute for Health and Care Research
Department of Health and Social Care

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article

Qualitative and quantitative assessment of accelerated liver diffusion-weighted imaging using deep-learning reconstruction in oncologic patients

Jessica Winfield, Thomas Benkert, Emily Evans, Dow‐Mu Koh et al.

Nov 26, 2025

BMC Medical Imaging

MRI in cancer diagnosis

article

Qualitative and quantitative assessment of accelerated liver diffusion-weighted imaging using deep-learning reconstruction in oncologic patients

Jessica Winfield, Thomas Benkert, Emily Evans, Dow‐Mu Koh, Joshua Shur, Georgina Hopkinson, Elisabeth Weiland, Mihaela Rata, Francesca Castagnoli

November 26, 2025article en

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

Royal Marsden NHS Foundation Trust (GB), Institute of Cancer Research (GB), Siemens Healthineers (Germany) (DE)

Royal Marsden NHS Foundation Trust, Cancer Research UK, National Institute for Health and Care Research, Department of Health and Social Care

Openalex Percentile: Top 49%

MRI in cancer diagnosis

DOI Open Access PDF OpenAlex

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