{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T12:03:27Z","timestamp":1788955407152,"version":"build-2803163510"},"reference-count":40,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100018694","name":"HORIZON EUROPE Marie Sklodowska-Curie Actions","doi-asserted-by":"publisher","award":["764513"],"award-info":[{"award-number":["764513"]}],"id":[{"id":"10.13039\/100018694","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2024,7]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Given that changes in brain water content are often correlated with disease, investigating water content non\u2010invasively and in vivo could lead to a better understanding of the pathogenesis of several neurologic diseases.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To adapt a super\u2010resolution\u2010based technique, previously developed for humans, to the rat brain and report in vivo high\u2010resolution (HR) water content maps in comparison with ex vivo wet\/dry methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Animal Model<\/jats:title><jats:p>Eight healthy male Wistar rats.<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>9.4\u2010T, multi\u2010echo gradient\u2010echo (mGRE) sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>Using super\u2010resolution reconstruction (SRR), a HR mGRE image (200\u2009\u03bcm isotropic) was reconstructed from three low\u2010resolution (LR) orthogonal whole\u2010brain images in each animal, which was followed by water content mapping in vivo. The animals were subsequently sacrificed, the brains excised and divided into five regions (front left, front right, middle left, middle right, and cerebellum\u2013brainstem regions), and the water content was measured ex vivo using wet\/dry measurements as the reference standard. The water content values of the in vivo and ex vivo methods were then compared for the whole brain and also for the different regions separately.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Friedman's non\u2010parametric test was used to test difference between the five regions, and Pearson's correlation coefficient was used for correlation between in vivo and ex vivo measurements. A <jats:italic>P<\/jats:italic>\u2010value &lt;0.05 was considered statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Water content values derived from in vivo MR measurements showed strong correlations with water content measured ex vivo at a regional level (<jats:italic>r<\/jats:italic>\u2009=\u20090.902). Different brain regions showed significantly different water content values. Water content values were highest in the frontal brain, followed by the midbrain, and lowest in the cerebellum and brainstem regions.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>An in vivo technique to achieve HR isotropic water content maps in the rat brain using SRR was adopted in this study. The MRI\u2010derived water content values obtained using the technique showed strong correlations with water content values obtained using ex vivo wet\/dry methods.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>1<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 1<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29061","type":"journal-article","created":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T11:49:41Z","timestamp":1697716181000},"page":"161-172","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["In Vivo Measurement of Rat Brain Water Content at 9.<scp>4\u2009T MR<\/scp> Using Super\u2010Resolution Reconstruction: Validation With Ex Vivo Experiments"],"prefix":"10.1002","volume":"60","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5572-5795","authenticated-orcid":false,"given":"Dennis 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