{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T15:26:24Z","timestamp":1777130784777,"version":"3.51.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol Exp"],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:sec>\n            <jats:title>Background<\/jats:title>\n            <jats:p>We evaluated the acceleration of a three-dimensional isotropic flow-independent magnetic resonance angiography (MRA) (relaxation-enhanced angiography without contrast and triggering, REACT) of neck arteries using compressed SENSE (CS) combined with deep learning (adaptive intelligence, AI)-based reconstruction (CS-AI).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Methods<\/jats:title>\n            <jats:p>Thirty-four volunteers received 3-T REACT MRA, acquired threefold: (i) CS acceleration factor 7 (CS7), scan time 1:20\u2009min:s; (ii) CS acceleration factor 10 (CS10), scan time 0:55\u2009min:s; and (iii) CS-AI acceleration factor 10 (CS10-AI), scan time 0:55\u2009min:s. Two radiologists rated the image quality of seven arterial segments and overall image noise. Additionally, a pairwise forced-choice comparison was conducted. Apparent signal-to-noise ratio (aSNR) and contrast-to-noise ratio (aCNR) were measured, and image sharpness was assessed using the edge-rise distance (ERD). Multiple <jats:italic>t<\/jats:italic>-tests and nonparametric tests with Bonferroni correction were performed for comparison to CS7 as the reference standard.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>Compared to CS7, CS10 showed lower image quality (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) while CS10-AI obtained higher scores (<jats:italic>p<\/jats:italic>\u2009=\u20090.010). Image noise was similar between CS7 and CS10 (<jats:italic>p<\/jats:italic>\u2009=\u20090.138) while CS10-AI yielded a lower noise (<jats:italic>p<\/jats:italic>\u2009=\u20090.008). Forced choice revealed preferences for CS7 over CS10 (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001), but no preference between CS7 and CS10-AI (<jats:italic>p<\/jats:italic>\u2009&gt;\u20090.999). Compared to CS7, aSNR and aCNR were lower in CS10 (<jats:italic>p<\/jats:italic>\u2009&lt;\u20090.001) and the ERD was longer (<jats:italic>p<\/jats:italic>\u2009=\u20090.004), while CS10-AI provided better aSNR and aCNR (<jats:italic>p<\/jats:italic>\u2009=\u20090.001) and showed no difference in ERD (<jats:italic>p<\/jats:italic>\u2009=\u20090.776).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>Sub-1-min CS-AI cervical REACT MRA was acquired without compromising image quality.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Relevance statement<\/jats:title>\n            <jats:p>The implementation of a fast and reliable non-contrast MRA has the potential to reduce costs and time while increasing patient comfort and safety. Clinical studies evaluating the diagnostic performance for stenosis or dissection are needed.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Trial registration<\/jats:title>\n            <jats:p>DRKS00030210 (German Clinical Trials Register; <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/drks.de\/\" ext-link-type=\"uri\">https:\/\/drks.de\/<\/jats:ext-link>)<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Key Points<\/jats:title>\n            <jats:p>\n              <jats:list list-type=\"bullet\">\n                <jats:list-item>\n                  <jats:p>Deep learning reconstruction enables sub-1-min non-contrast-enhanced MRA of extracranial arteries.<\/jats:p>\n                <\/jats:list-item>\n                <jats:list-item>\n                  <jats:p>Acceleration without deep learning reconstruction causes inferior image quality.<\/jats:p>\n                <\/jats:list-item>\n                <jats:list-item>\n                  <jats:p>Acceleration with deep learning reconstruction exceeds, in part, the clinical standard.<\/jats:p>\n                <\/jats:list-item>\n              <\/jats:list>\n            <\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Graphical abstract<\/jats:title>\n          <\/jats:sec>","DOI":"10.1186\/s41747-025-00560-7","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T17:08:01Z","timestamp":1739898481000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Sub-1-min relaxation-enhanced non-contrast non-triggered cervical MRA using compressed SENSE with deep learning reconstruction in healthy volunteers"],"prefix":"10.1186","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0980-4606","authenticated-orcid":false,"given":"Jan Paul","family":"Janssen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kenan","family":"Kaya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Terzis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Hahnfeldt","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roman Johannes","family":"Gertz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lukas","family":"Goertz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephan","family":"Skornitzke","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juliana","family":"Tristram","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thomas","family":"Dratsch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cansin","family":"Goezdas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph","family":"Kabbasch","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kilian","family":"Weiss","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lenhard","family":"Pennig","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carsten Herbert","family":"Gietzen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,18]]},"reference":[{"key":"560_CR1","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1056\/NEJMoa1804355","volume":"379","author":"G Thomalla","year":"2018","unstructured":"Thomalla G, Simonsen CZ, Boutitie F et al (2018) MRI-guided thrombolysis for stroke with unknown time of onset. 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The other authors declare no conflicts of interest related to the content of this article.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"19"}}