{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T15:29:15Z","timestamp":1787758155712,"version":"build-2784847793"},"reference-count":39,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T00:00:00Z","timestamp":1780099200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T00:00:00Z","timestamp":1780099200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Vet Radiology Ultrasound"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    The application of deep learning\u2013based reconstruction (DLR) to magnetic resonance imaging (MRI) has been recently introduced in human and veterinary medicine to improve image quality without prolonging acquisition time. We hypothesized that cranial abdominal MRI with DLR would have superior image quality than conventional MRI. This prospective comparative pilot study aimed to compare cranial abdominal MR image quality with versus without DLR application in dogs. Transverse T2\u2010weighted and T1\u2010weighted images with and without contrast enhancement of the cranial abdomen region were performed in 10 clinically healthy dogs. The original and DLR images were generated from a single set of raw data using the DLR network embedded reconstruction pathway. The signal\u2010to\u2010noise ratio (SNR) and contrast\u2010to\u2010noise ratio (CNR) were calculated for quantitative analysis. Qualitative analysis included evaluation of the edge sharpness of the liver and pancreas, the conspicuity of the adrenal glands, respiratory motion artifacts, coarseness, and overall image quality using a 4\u2010point scale. Quantitative and qualitative values were compared between images with DLR and their counterparts. The mean SNR and CNR of all images with DLR were significantly higher than those of their counterparts (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0&lt;\u00a00.05). Qualitative analysis parameters, except for respiratory motion artifacts, were significantly superior in images with DLR compared with counterparts for all sequences (\n                    <jats:italic>p<\/jats:italic>\n                    \u00a0&lt;\u00a00.05). The present study demonstrated that cranial abdominal MRI with DLR is feasible to improve image quality without prolonging acquisition time.\n                  <\/jats:p>","DOI":"10.1111\/vru.70193","type":"journal-article","created":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T10:22:35Z","timestamp":1780136555000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Deep Learning\u2013Based Reconstruction Improves Image Quality in Canine Cranial Abdominal MRI: A Prospective Pilot Study"],"prefix":"10.1111","volume":"67","author":[{"given":"Hyemin","family":"Na","sequence":"first","affiliation":[{"name":"College of Veterinary Medicine Kyungpook National University  Daegu Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3097-0345","authenticated-orcid":false,"given":"Sang\u2010Kwon","family":"Lee","sequence":"additional","affiliation":[{"name":"College of Veterinary Medicine Kyungpook National University  Daegu Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hojung","family":"Choi","sequence":"additional","affiliation":[{"name":"College of Veterinary Medicine Chungnam National University  Daejeon Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youngwon","family":"Lee","sequence":"additional","affiliation":[{"name":"College of Veterinary Medicine Chungnam National University  Daejeon Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7516-5737","authenticated-orcid":false,"given":"Kazutaka","family":"Yamada","sequence":"additional","affiliation":[{"name":"Laboratory of Veterinary Radiology Azabu University  Sagamihara Kanagawa Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4649-809X","authenticated-orcid":false,"given":"Kija","family":"Lee","sequence":"additional","affiliation":[{"name":"College of Veterinary Medicine Kyungpook National University  Daegu Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,30]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1892\/0891\u20106640(2004)18<330:mriofs>2.0.co;2"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.12419"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.12237"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1740\u20108261.1997.tb00869.x"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.12715"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.13149"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.12017"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.13066"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.12116"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.2460\/ajvr.80.9.832"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tvjl.2016.02.010"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27852"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/s0899\u20107071(02)00499\u20100"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/42.870663"},{"key":"e_1_2_11_16_1","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.07.3657"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2022.04.005"},{"key":"e_1_2_11_18_1","unstructured":"R. M.Lebel \u201cPerformance Characterization of a Novel Deep Learning\u2010Based MR Image Reconstruction Pipeline \u201d preprint arXiv:2008.06559 August 14 2020."},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00234\u2010022\u201003024\u20106"},{"key":"e_1_2_11_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.13279"},{"key":"e_1_2_11_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/vru.13298"},{"key":"e_1_2_11_22_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0000000000000769"},{"key":"e_1_2_11_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2021.05.001"},{"key":"e_1_2_11_24_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11604\u2010015\u20100463\u20109"},{"key":"e_1_2_11_25_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12880\u2010018\u20100256\u20106"},{"key":"e_1_2_11_26_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781315121055"},{"key":"e_1_2_11_27_1","doi-asserted-by":"publisher","DOI":"10.1038\/s42005\u2010019\u20100135\u20107"},{"key":"e_1_2_11_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-73507-8_7"},{"key":"e_1_2_11_29_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12093234"},{"key":"e_1_2_11_30_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010021\u201000558\u20102"},{"key":"e_1_2_11_31_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.23947"},{"key":"e_1_2_11_32_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12885\u2010023\u201011451\u20108"},{"key":"e_1_2_11_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2009.10.015"},{"key":"e_1_2_11_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330\u2010020\u201007006\u20101"},{"key":"e_1_2_11_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.adro.2021.100708"},{"key":"e_1_2_11_36_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1754\u20109485.2010.02157.x"},{"key":"e_1_2_11_37_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200723"},{"key":"e_1_2_11_38_1","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2018.0931"},{"key":"e_1_2_11_39_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.20969"},{"key":"e_1_2_11_40_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.220133"}],"container-title":["Veterinary Radiology &amp; Ultrasound"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/vru.70193","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/vru.70193","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/vru.70193","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T15:05:06Z","timestamp":1787756706000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/vru.70193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,30]]},"references-count":39,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026,7]]}},"alternative-id":["10.1111\/vru.70193"],"URL":"https:\/\/doi.org\/10.1111\/vru.70193","archive":["Portico"],"relation":{},"ISSN":["1058-8183","1740-8261"],"issn-type":[{"value":"1058-8183","type":"print"},{"value":"1740-8261","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,5,30]]},"assertion":[{"value":"2025-03-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-12","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-05-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e70193"}}