{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T15:25:56Z","timestamp":1772983556089,"version":"3.50.1"},"reference-count":14,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T00:00:00Z","timestamp":1764806400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T00:00:00Z","timestamp":1764806400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    This prospective study aimed to perform a qualitative and quantitative comparison of deep learning (DL) and conventional T2\u2010weighted Half\u2010Fourier Acquisition Single\u2010shot Turbo spin Echo (HASTE) sequences for 3T MRI acquisition of the upper abdomen. From January 2024 to April 2024, 166 patients (60\u2009\u00b1\u200914\u2009years) scheduled for MRI of the upper abdomen were prospectively enrolled. Each patient underwent two MRI examinations: one using a conventional T2\u2010weighted HASTE sequence, followed by a fast T2\u2010weighted HASTE sequence reconstructed with DL. Image quality, anatomical structure visualization, and diagnostic performance were independently assessed by three readers using a 5\u2010point Likert scale. Quantitative analysis included measurements of signal\u2010to\u2010noise ratio (SNR) and contrast\u2010to\u2010noise ratio (CNR) for both sequences. Additionally, radiomic features were extracted and analyzed for significant variations. Interreader agreement was evaluated using Fleiss' Kappa. The DL HASTE sequence showed significantly superior overall image quality (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001), fewer artifacts (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001), and improved delineation of anatomical structures (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.01) compared to the conventional T2\u2010weighted HASTE sequence. DL sequences exhibited better SNR (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&lt;\u20090.001), whereas CNR values did not show a difference between the two acquisition types. Radiomics feature analysis unveiled significant differences in contrast and gray\u2010level characteristics (\n                    <jats:italic>p<\/jats:italic>\n                    \u2009\u2264\u20090.001). DL HASTE demonstrated a significant time reduction of 62.5% together with significant energy cost savings of 0.34\u2009kW per scan compared to the conventional sequence acquisition. The DL HASTE sequence enhanced image quality and diagnostic confidence while minimizing artifacts, time, and energy costs, enabling a more accurate detection of pathologies than the conventional T2\u2010weighted product solution with potential clinical impact.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70183","type":"journal-article","created":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T07:08:48Z","timestamp":1764918528000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning HASTE for Upper Abdominal MRI: Improved Image Quality, Speed, and Energy Efficiency in a Prospective Study"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0524-6574","authenticated-orcid":false,"given":"Jennifer","family":"Gotta","sequence":"first","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed\u00a0Ait","family":"Bachir","sequence":"additional","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Leon\u00a0D.","family":"Gruenewald","sequence":"additional","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralph","family":"Strecker","sequence":"additional","affiliation":[{"name":"EMEA Scientific Partnerships Siemens Healthineers AG  Forchheim Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"Nickel","sequence":"additional","affiliation":[{"name":"MR Application Predevelopment Siemens Healthineers AG  Forchheim 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Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"H\u00f6hne","sequence":"additional","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Renate\u00a0M.","family":"Hammerstingl","sequence":"additional","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katrin","family":"Eichler","sequence":"additional","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatjana","family":"Gruber\u2010Rouh","sequence":"additional","affiliation":[{"name":"Department of Radiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3100-2167","authenticated-orcid":false,"given":"Sebastian\u00a0M.","family":"Haberkorn","sequence":"additional","affiliation":[{"name":"Department of Cardiology Goethe University Hospital Frankfurt  Frankfurt am Main Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0004-6378","authenticated-orcid":false,"given":"Tommaso","family":"D'Angelo","sequence":"additional","affiliation":[{"name":"Department of Biomedical Sciences and Morphological and Functional Imaging University Hospital Messina  Messina Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christophe","family":"Weber","sequence":"additional","affiliation":[{"name":"University Hospital, Department of Cardiology, Angiology, and Pulmonology University of Heidelberg  Heidelberg 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