{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T21:03:52Z","timestamp":1790197432515,"version":"4.1.0"},"reference-count":0,"publisher":"SPIE-Intl Soc Optical Eng","issue":"06","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Med. Imag."],"published-print":{"date-parts":[[2025,12,10]]},"abstract":"<jats:p>PurposeDeep-learning (DL)-based image reconstruction (DLR) is a key technique for reducing acquisition time (TA) and increasing morphologic resolution in abdominal magnetic resonance imaging (MRI). We aim to compare the performance of a standard (VIBEStd) gradient echo (GRE) sequence with Dixon fat separation versus an accelerated ultra-fast (VIBEUF) and high-resolution (VIBEHR) T1-weighted GRE sequence with Dixon fat separation and DLR.ApproachA total of 50 patients with an abdominal 1.5T MRI, with a mean age of 59\u00b111 years, were prospectively included from January to July 2023. Each examination protocol included VIBEStd, VIBEUF, and VIBEHR. Both DL sequences use more aggressive parallel imaging and partial Fourier sampling to reduce TA (slice thickness VIBEStd and VIBEUF 3\u00a0mm, VIBEHR 2\u00a0mm). Evaluation of each contrast-enhanced datasets for noise, artifacts, sharpness\/contrast, overall image quality, and diagnostic confidence was performed independently by four radiologists using a Likert scale of 1 to 5 (5 = best).ResultsVIBEUF significantly reduced TA (mean 7.3\u00a0s versus 15.0\u00a0s (VIBEStd) and 14.5\u00a0s (VIBEHR); p&lt;0.001). Both DL sequences provided significantly better sharpness\/contrast for all organs compared with VIBEStd (median 5 versus 4; p&lt;0.001). VIBEUF showed less noise than VIBEStd (median 5 versus 4; p&lt;0.001), but VIBEStd was less artifact-affected than both DL sequences (median 5 versus 4; p&lt;0.001). Overall image quality was superior in both DL sequences compared with VIBEStd (median 5 versus 4; p&lt;0.001). Diagnostic confidence and lesion detectability were not significantly different (p&gt;0.05).ConclusionDL-based image reconstruction significantly improves overall image quality for VIBEUF and VIBEHR, with VIBEUF reducing TA by \u223c50%.<\/jats:p>","DOI":"10.1117\/1.jmi.12.6.064005","type":"journal-article","created":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T17:33:41Z","timestamp":1765388021000},"page":"1-14","source":"Crossref","is-referenced-by-count":0,"title":["Application of thin-slice and accelerated T1-weighted GRE sequences in 1.5T abdominal magnetic resonance imaging using deep learning image reconstruction"],"prefix":"10.1117","volume":"12","author":[{"given":"Natalie S.","family":"Joos","sequence":"first","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6861-6245","authenticated-orcid":false,"given":"Saif","family":"Afat","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcel Dominik","family":"Nickel","sequence":"additional","affiliation":[{"name":"Siemens Healthineers AG"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7517-1291","authenticated-orcid":false,"given":"Elisabeth","family":"Weiland","sequence":"additional","affiliation":[{"name":"Siemens Healthineers AG"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1535-8980","authenticated-orcid":false,"given":"Judith","family":"Herrmann","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2476-178X","authenticated-orcid":false,"given":"Stephan","family":"Ursprung","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haidara","family":"Almansour","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8583-8627","authenticated-orcid":false,"given":"Andreas","family":"Lingg","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Werner","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bianca","family":"Haase","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantin","family":"Nikolaou","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sebastian","family":"Gassenmaier","sequence":"additional","affiliation":[{"name":"Eberhard Karls University Tuebingen"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"189","container-title":["Journal of Medical Imaging"],"original-title":[],"link":[{"URL":"https:\/\/www.spiedigitallibrary.org\/journals\/journal-of-medical-imaging\/volume-12\/issue-06\/064005\/Application-of-thin-slice-and-accelerated-T1-weighted-GRE-sequences\/10.1117\/1.JMI.12.6.064005.full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,23]],"date-time":"2026-09-23T20:28:23Z","timestamp":1790195303000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/journals\/journal-of-medical-imaging\/volume-12\/issue-06\/064005\/Application-of-thin-slice-and-accelerated-T1-weighted-GRE-sequences\/10.1117\/1.JMI.12.6.064005.full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,10]]},"references-count":0,"journal-issue":{"issue":"06","published-online":{"date-parts":[[2025,11,1]]}},"URL":"https:\/\/doi.org\/10.1117\/1.jmi.12.6.064005","relation":{},"ISSN":["2329-4302","2329-4310"],"issn-type":[{"value":"2329-4302","type":"print"},{"value":"2329-4310","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,10]]}}}