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Three radiologists evaluated the image quality of the three sequences quantitatively and qualitatively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Overall image quality of DL-HASTE (average score: 5) was superior to HASTE and T2-TSE (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001). DL-HASTE provided the clearest bladder wall delineation, especially in the apical part of the bladder (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.001). SNR (36.3\u2009\u00b1\u20096.3) and CNR (50.3\u2009\u00b1\u200919.7) were the highest on DL-HASTE, followed by T2-TSE (33.1\u2009\u00b1\u20096.3 and 44.3\u2009\u00b1\u200921.0, respectively;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.05) and HASTE (21.7\u2009\u00b1\u20095.4 and 35.8\u2009\u00b1\u200917.5, respectively;\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.01). A limitation of DL-HASTE and HASTE was the susceptibility to urine flow artifact within the bladder, which was absent or only minimal on T2-TSE. Diagnostic confidence in assessment of the bladder was highest with the combination of DL-HASTE and T2-TSE (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u2009.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>DL-HASTE allows for ultrafast imaging of the bladder with high image quality and is a promising addition to T2-TSE.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12880-025-01810-1","type":"journal-article","created":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T15:29:30Z","timestamp":1752593370000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Ultrafast T2-weighted MR imaging of the urinary bladder using deep learning-accelerated HASTE at 3 Tesla"],"prefix":"10.1186","volume":"25","author":[{"given":"Li","family":"Yan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinxuan","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Kohnert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcel Dominik","family":"Nickel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elisabeth","family":"Weiland","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Felix","family":"Kubicka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Jahnke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dominik","family":"Geisel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moritz","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thula","family":"Walter-Rittel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"issue":"2","key":"1810_CR1","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.mric.2014.01.001","volume":"22","author":"MM Hoosein","year":"2014","unstructured":"Hoosein MM, Rajesh A, MR Imaging of the Urinary Bladder. 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