{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T08:48:30Z","timestamp":1792054110415,"version":"4.4.0"},"reference-count":40,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T00:00:00Z","timestamp":1791936000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["NMR in Biomedicine"],"published-print":{"date-parts":[[2026,11]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Robust cardiorespiratory motion correction is critical for high\u2010quality ultra\u2010high\u2010field (UHF) preclinical cardiac magnetic resonance imaging (MRI). Whereas radial tiny golden angle (tyGA) sampling, data\u2010driven self\u2010gating (sg), compressed sensing (CS), and ultrashort echo time (UTE) are individually well\u2010established techniques, their integration into a unified acquisition and reconstruction pipeline, together with systematic validation at 11.7\u2009T remains insufficiently explored. This study presents and validates a UHF\u2010optimized tyGA\u2010based UTE workflow that enables high\u2010temporal\u2010resolution sliding\u2010window dynamic imaging (SW\u2010tyGA\u2010UTE) and high\u2010spatial\u2010resolution cardiorespiratory self\u2010gated cine imaging (Gated\u2010tyGA\u2010UTE) from a single continuous acquired tyGA acquisition. All experiments were performed on an 11.7\u2010T small\u2010animal MRI system in 16 healthy wild\u2010type mice. Cardiac functional parameters, image quality metrics (signal\u2010to\u2010noise ratio [SNR] and contrast\u2010to\u2010noise ratio [CNR]), and inter\u2010\/intra\u2010observer reproducibility were systematically compared between the proposed tyGA\u2010UTE pipeline and two navigator\u2010gated reference techniques: retrospectively gated FLASH and UTE methodologies. SW\u2010tyGA\u2010UTE and Gated\u2010tyGA\u2010UTE reconstructions yielded global left ventricular functional parameters comparable to those obtained with the reference methods (all\n                    <jats:italic>p<\/jats:italic>\n                    \u2009&gt;\u20090.05). All functional metrics showed excellent intra\u2010observer (ICC\u2009=\u20090.94\u20130.99) and inter\u2010observer (ICC\u2009=\u20090.90\u20130.98) reproducibility, with ejection fraction showing the highest measurement consistency. Image quality was evaluated using an image\u2010based within\u2010ROI noise quantification approach that captures both thermal noise and reconstruction\u2010related artifacts. In this analysis, the Gated\u2010tyGA\u2010UTE protocol showed no statistically significant differences in left ventricular blood\u2010pool SNR, myocardial SNR, or CNR relative to the reference sequences. In contrast, the high\u2010temporal\u2010resolution sliding\u2010window reconstruction showed significantly reduced image quality across all three metrics, consistent with the expected spatiotemporal trade\u2010off of undersampled dynamic imaging. This study validates a robust, UHF\u2010optimized tyGA\u2010UTE imaging workflow that generates both high\u2010fidelity quantitative cine data and ultra\u2010fast dynamic cardiac images from a single acquisition. The unified pipeline eliminates the need for sequential repeated scans, minimizes anesthesia\u2010related physiological variability, and improves experimental efficiency, providing a practical tool for preclinical cardiac phenotyping, longitudinal studies, and drug screening.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70418","type":"journal-article","created":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T04:19:04Z","timestamp":1792037944000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Radial Tiny Golden Angle UTE (tyGA\u2010UTE) for Cardiac MRI in the Small Animal Model"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8644-0263","authenticated-orcid":false,"given":"Hao","family":"Li","sequence":"first","affiliation":[{"name":"Department of Cardiology the First Affiliated Hospital of Shandong First Medical University &amp; Shandong Provincial Qianfoshan Hospital  Jinan China"},{"name":"Center for Medical Artificial Intelligence Shandong University of Traditional Chinese Medicine  Qingdao Shandong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Metze","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine II Ulm University Medical Center  Ulm Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengxi","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Radiology the First Affiliated Hospital of Shandong First Medical University &amp; Shandong Provincial Qianfoshan Hospital  Jinan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9640-4947","authenticated-orcid":false,"given":"Benzheng","family":"Wei","sequence":"additional","affiliation":[{"name":"Center for Medical Artificial Intelligence Shandong University of Traditional Chinese Medicine  Qingdao Shandong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8844-3583","authenticated-orcid":false,"given":"Volker","family":"Rasche","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine II Ulm University Medical Center  Ulm Germany"},{"name":"Ulm University Core Facility Small Animal Imaging  Ulm Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,14]]},"reference":[{"key":"e_1_2_12_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2020.11.010"},{"key":"e_1_2_12_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tips.2022.06.009"},{"key":"e_1_2_12_4_1","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.22.28457"},{"key":"e_1_2_12_5_1","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics14171946"},{"key":"e_1_2_12_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.10411"},{"key":"e_1_2_12_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978\u20101\u20104939\u20107531\u20100_16"},{"key":"e_1_2_12_8_1","doi-asserted-by":"publisher","DOI":"10.3389\/fphy.2020.00183"},{"key":"e_1_2_12_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2018.06.017"},{"key":"e_1_2_12_10_1","doi-asserted-by":"publisher","DOI":"10.1097\/RLI.0b013e31823d3eb6"},{"key":"e_1_2_12_11_1","article-title":"Self\u2010Gated, Wireless Cine\u2010MRI Allows Accurate and Time\u2010Efficient Analysis of Mouse Heart Function When Conventional ECG\u2010 and Respiratory\u2010Gated Cine MRI Fails","volume":"14","author":"Van Echteld C. 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