{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T10:51:03Z","timestamp":1791543063775,"version":"4.3.4"},"reference-count":38,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T00:00:00Z","timestamp":1791504000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100002241","name":"Japan Science and Technology Agency","doi-asserted-by":"publisher","award":["JPMJBS2414"],"award-info":[{"award-number":["JPMJBS2414"]}],"id":[{"id":"10.13039\/501100002241","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["JP24K00891"],"award-info":[{"award-number":["JP24K00891"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Zero\u2010echo\u2010time (ZTE) imaging detects signals from tissues with extremely short  relaxation times by minimizing echo time. Dead\u2010time gaps and flexible temporal sampling remain challenges for dynamic applications such as functional MRI (fMRI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To propose and evaluate ZTE\u2010STAR, a dynamic ZTE framework combining paired\u2010spoke spiral phyllotaxis sampling, algebraic dead\u2010time infilling, and temporal total variation (TTV) reconstruction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Study Type<\/jats:title>\n                    <jats:p>Prospective.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Subjects\/Phantom<\/jats:title>\n                    <jats:p>A numerical phantom and eight C57BL\/6J mice (one for image quality assessment; seven for resting\u2010state fMRI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>FIELDSTRENGTH\/Sequence<\/jats:title>\n                    <jats:p>9.4\u2009T; ZTE with a modified Spiral Phyllotaxis Golden Angle trajectory.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Assessment<\/jats:title>\n                    <jats:p>Reconstruction quality was assessed using peak signal\u2010to\u2010noise ratio (PSNR) and structural similarity index (SSIM), and temporal response using the 90%\u201310% fall time. In\u00a0vivo assessment included temporal signal\u2010to\u2010noise ratio (tSNR), rigid\u2010body motion, and exploratory group independent component analysis (ICA).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Statistical Test<\/jats:title>\n                    <jats:p>Descriptive statistics were used for PSNR, SSIM, motion, and tSNR. ICA was exploratory, with no inferential statistical testing.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In trajectory\u2013reconstruction ablation at comparable spoke counts, paired spiral phyllotaxis with TTV yielded PSNR 32.12\u2009dB versus 29.75\u2009dB for conventional radial sampling with TTV. ZTE\u2010STAR at 864 spokes yielded PSNR 30.90\u2009dB, SSIM 0.903, and 90%\u201310% fall time 1.8\u20132.1\u2009s; at 2880 versus 2948 spokes, fall times were 5.0\u20135.2 versus 4.9\u2009s. With realistic measurement noise, ZTE\u2010STAR at 864 spokes yielded PSNR 30.12\u2009\u00b1\u20090.01\u2009dB and SSIM 0.838\u2009\u00b1\u20090.001 versus 24.79\u2009\u00b1\u20090.01\u2009dB and 0.604\u2009\u00b1\u20090.001 for conventional radial sampling at 2948 spokes. Whole\u2010brain tSNR ranged from 26.6 to 30.1. Resting\u2010state ICA yielded an exploratory default mode network\u2010like component.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Data Conclusion<\/jats:title>\n                    <jats:p>ZTE\u2010STAR enabled shorter retrospective bins while maintaining reconstruction quality at lower spoke counts and supported exploratory resting\u2010state ZTE\u2010fMRI in mice.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Technical Efficacy<\/jats:title>\n                    <jats:p>Stage 1.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Evidence Level<\/jats:title>\n                    <jats:p>4.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jmri.70583","type":"journal-article","created":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T10:03:08Z","timestamp":1791540188000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>ZTE<\/scp>\n                    \u2010\n                    <scp>STAR<\/scp>\n                    :\n                    <scp>4D<\/scp>\n                    Zero\u2010Echo\u2010Time (\n                    <scp>ZTE<\/scp>\n                    ) Imaging With a Spiral Phyllotaxis Trajectory Using Temporal Total Variation Reconstruction and Algebraic Dead\u2010Time Infilling"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-6704-8967","authenticated-orcid":false,"given":"Naoto","family":"Fujita","sequence":"first","affiliation":[{"name":"Institute of Pure and Applied Sciences University of Tsukuba  Tsukuba Japan"},{"name":"Human Informatics and Interaction Research Institute National Institute of Advanced Industrial Science and Technology  Tsukuba Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3194-578X","authenticated-orcid":false,"given":"Tomokazu","family":"Tsurugizawa","sequence":"additional","affiliation":[{"name":"Human Informatics and Interaction Research Institute National Institute of Advanced Industrial Science and Technology  Tsukuba Japan"},{"name":"Institute of Systems and Information Engineering University of Tsukuba  Tsukuba Ibaraki Japan"},{"name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Trois\u2010Rivi\u00e8res  Trois\u2010Rivi\u00e8res Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8583-3057","authenticated-orcid":false,"given":"Yasuhiko","family":"Terada","sequence":"additional","affiliation":[{"name":"Institute of Pure and Applied Sciences University of Tsukuba  Tsukuba Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,10,9]]},"reference":[{"key":"e_1_2_11_2_1","volume-title":"eMagRes","author":"Weiger M.","year":"2012"},{"key":"e_1_2_11_3_1","doi-asserted-by":"crossref","DOI":"10.1259\/bjr.20220059","article-title":"Zero\u2010TE MRI: Principles and Applications in the Head and Neck","volume":"95","author":"Wiesinger F.","year":"2022","journal-title":"British Journal of Radiology"},{"key":"e_1_2_11_4_1","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1002\/jmri.28843","article-title":"Zero Echo Time Magnetic Resonance Imaging; Techniques and Clinical Utility in Musculoskeletal System","volume":"59","author":"Fujisaki A.","year":"2024","journal-title":"Journal of Magnetic Resonance Imaging"},{"key":"e_1_2_11_5_1","doi-asserted-by":"crossref","first-page":"286","DOI":"10.1148\/radiol.2020201138","article-title":"Expanding Applications of Pulmonary MRI in the Clinical Evaluation of Lung Disorders: Fleischner Society Position Paper","volume":"297","author":"Hatabu H.","year":"2020","journal-title":"Radiology"},{"key":"e_1_2_11_6_1","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1016\/j.neuroimage.2017.08.012","article-title":"MB\u2010SWIFT Functional MRI During Deep Brain Stimulation in Rats","volume":"159","author":"Lehto L. 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