Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla

Authors

Qinxuan Tan
Bernd Hamm (ORCID: https://orcid.org/0000-0002-9141-027X)
Dominik Geisel (ORCID: https://orcid.org/0000-0001-7348-0971)
Thula Walter (ORCID: https://orcid.org/0000-0002-2003-8351)
Elisabeth Weiland (ORCID: https://orcid.org/0000-0001-7517-1291)
Moritz Wagner (ORCID: https://orcid.org/0000-0002-5045-1374)
Dominik Nickel (ORCID: https://orcid.org/0000-0002-0360-7233)
Felix Kubicka (ORCID: https://orcid.org/0000-0002-9724-2887)

Institutions

Humboldt-Universität zu Berlin (DE)
Siemens Healthineers (Germany) (DE)

Publication Details

Journal: BMC Medical Imaging
Published: 2025-09-18
DOI: https://doi.org/10.1186/s12880-025-01838-3
Primary Topic: Advanced MRI Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Siemens Healthineers

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article

Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla

Qinxuan Tan, Bernd Hamm, Dominik Geisel, Thula Walter et al.

Sep 18, 2025

BMC Medical Imaging

Advanced MRI Techniques and Applications

article

Optimized deep learning-accelerated single-breath-hold abdominal HASTE with and without fat saturation improves and accelerates abdominal imaging at 3 Tesla

Qinxuan Tan, Bernd Hamm, Dominik Geisel, Thula Walter, Elisabeth Weiland, Moritz Wagner, Dominik Nickel, Felix Kubicka

September 18, 2025article en

Abstract

No abstract available for this paper.

BMC Medical ImagingVol. 25(1)

Humboldt-Universität zu Berlin (DE), Siemens Healthineers (Germany) (DE)

Siemens Healthineers

Openalex Percentile: Top 62%

Advanced MRI Techniques and Applications

DOI Open Access PDF OpenAlex

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