{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T07:59:59Z","timestamp":1790668799587,"version":"4.1.0"},"reference-count":28,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T00:00:00Z","timestamp":1790640000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T00:00:00Z","timestamp":1790640000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82302156"],"award-info":[{"award-number":["82302156"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To develop and evaluate a single\u2010acquisition integrated MRI sequence named SNAPFLOW for simultaneous assessment of intracranial arterial lumen morphology, vessel wall, and blood flow within a single acquisition.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>SNAPFLOW integrates Simultaneous Non\u2010contrast Angiography and intraPlaque hemorrhage (SNAP) imaging, pulsed arterial spin labeling (ASL)\u2010MRA, and non\u2010interleaved 3D phase\u2010contrast (PC) flow imaging within a single intrinsically co\u2010registered acquisition. SNAP\u2010derived MRA and vessel wall images were reconstructed using phase\u2010sensitive inversion recovery, ASL\u2010MRA was generated by complex control\u2010label subtraction, and PC velocity maps were obtained using phase\u2010difference methods, respectively. SNAPFLOW was evaluated in 12 healthy volunteers and two patients with cerebrovascular disease and compared with conventional SNAP and 3D PC MRI.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Quantitative velocity measurements in SNAPFLOW showed good\u2010to\u2010excellent agreement with conventional 3D PC MRI, with ICCs ranging from 0.836 to 0.931 across encoding directions (RL: 0.836; AP: 0.931; FH: 0.922) and corresponding Bland\u2013Altman biases of \u22120.87\u2009cm\/s (RL), \u22120.04\u2009cm\/s (AP), and \u22120.18\u2009cm\/s (FH). SNAPFLOW\u2010based SNAP\u2010MRA and ASL\u2010MRA showed substantial overlap while providing distinct contrast mechanisms and total visible vessel lengths of 4521\u2009\u00b1\u2009643\u2009mm for reference SNAP, 4668\u2009\u00b1\u2009459\u2009mm for SNAPFLOW\u2010derived SNAP\u2010MRA, and 4616\u2009\u00b1\u2009632\u2009mm for SNAPFLOW\u2010derived ASL\u2010MRA (all\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&gt;\u20090.05). In representative cases, SNAPFLOW enabled inherently co\u2010registered visualization of lumen, vessel\u2010wall, and flow.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>SNAPFLOW provides a single\u2010acquisition framework for intrinsically co\u2010registered cerebrovascular MRI and may facilitate comprehensive assessment of intracranial vascular pathology.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.70615","type":"journal-article","created":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T07:53:10Z","timestamp":1790668390000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>SNAPFLOW<\/scp>\n                    : A Novel Integrated\n                    <scp>MRI<\/scp>\n                    Sequence for Simultaneous Intracranial Vessel and Blood Flow Assessment"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-1091-4551","authenticated-orcid":false,"given":"Zixuan","family":"Han","sequence":"first","affiliation":[{"name":"Center for Biomedical Imaging Research School of Biomedical Engineering, Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaokang","family":"Wen","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain\u2010Inspired Intelligence Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yonglin","family":"Chen","sequence":"additional","affiliation":[{"name":"Center for Biomedical Imaging Research School of Biomedical Engineering, Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1591-7674","authenticated-orcid":false,"given":"Hongwei","family":"Li","sequence":"additional","affiliation":[{"name":"Diagnostic Imaging Sciences Center, Department of Radiology University of Washington School of Medicine  Seattle Washington USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haozhong","family":"Sun","sequence":"additional","affiliation":[{"name":"Center for Biomedical Imaging Research School of Biomedical Engineering, Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"Wu","sequence":"additional","affiliation":[{"name":"Philips Healthcare  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhensen","family":"Chen","sequence":"additional","affiliation":[{"name":"Institute of Science and Technology for Brain\u2010Inspired Intelligence Fudan University  Shanghai China"},{"name":"Key Laboratory of Computational Neuroscience and Brain\u2010Inspired Intelligence, Ministry of Education Fudan University  Shanghai China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xihai","family":"Zhao","sequence":"additional","affiliation":[{"name":"Center for Biomedical Imaging Research School of Biomedical Engineering, Tsinghua University  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,29]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1474\u20104422(24)00369\u20107"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.nbd.2018.11.008"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/0271678X16631149"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.21037\/cdt\u201020\u2010470"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24254"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0149130"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.10051"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27855"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.2463\/mrms.rev.2019\u20100096"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910090117"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12968\u2010015\u20100172\u20107"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiographics.22.3.g02ma11651"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.28431"},{"key":"e_1_2_10_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910360410"},{"key":"e_1_2_10_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1522\u20102594(200005)43:5<682::AID\u2010MRM10>3.0.CO;2\u2010G"},{"key":"e_1_2_10_17_1","first-page":"3719","volume-title":"arrayShow: A Guide to an Open Source Matlab Tool for Complex MRI Data Analysis","author":"Sumpf T. 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