{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T19:22:40Z","timestamp":1780514560094,"version":"3.54.1"},"reference-count":26,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T00:00:00Z","timestamp":1676160000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Guangdong Basic and Applied Basic Research Foundation, China","award":["No.2020A1515011436"],"award-info":[{"award-number":["No.2020A1515011436"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Acta Radiol"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Synthetic magnetic resonance imaging (MRI) might replace the conventional MR sequences in brain evaluation to shorten scan time and obtain multiple quantitative parameters.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To evaluate the image quality of multiple-delay-multiple-echo (MDME) sequence-derived synthetic brain MR images compared to conventional images by considering a multi-age sample.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Material and Methods<\/jats:title>\n                    <jats:p>Image sets of conventional and synthetic MRI of 200 participants were included. On the basis of the presence of intracranial lesions, the participants were divided into a normal group and a pathological group. Two neuroradiologists compared the anonymous and unordered images. Image quality, artifacts, and diagnostic performance were analyzed.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In the quantitative analysis, comparing with conventional images, MDME sequence-derived synthetic MRI demonstrated an equal\/greater signal-to-noise ratio and contrast-to-noise ratio (CNR) in all age groups. Specifically, for participants aged \u22642 years, synthetic T2-fluid-attenuated inversion recovery imaging showed a significantly higher cerebellum gray\/white matter CNR ( P\u2009&lt;\u20090.05). In the qualitative and artifact analyses, except for the superior sagittal sinus and cranial nerves, synthetic MRI showed good imaging quality (\u22653 points) in all brain structures. On synthetic T1-weighted imaging, high signal intensity within the superior sagittal sinus was found in most of our participants (107\/118, 90.7%). No difference was observed between synthetic and conventional MRI in diagnosing the lesions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>MDME sequence-derived synthetic MRI showed similar image quality and diagnostic performance with a shorter acquisition time than conventional MRI. However, the high signal intensity within the superior sagittal sinus on synthetic T1-weighted images requires consideration.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02841851231152098","type":"journal-article","created":{"date-parts":[[2023,2,12]],"date-time":"2023-02-12T23:54:20Z","timestamp":1676246060000},"page":"2010-2023","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Image quality using synthetic brain MRI: an age-stratified study"],"prefix":"10.1177","volume":"64","author":[{"given":"Mengsha","family":"Zou","sequence":"first","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, PR 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