{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,30]],"date-time":"2026-10-30T03:03:04Z","timestamp":1793329384050,"version":"4.5.0"},"reference-count":48,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,5,24]],"date-time":"2026-05-24T00:00:00Z","timestamp":1779580800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/501100013373","name":"NIHR Oxford Biomedical Research Centre","doi-asserted-by":"publisher","award":["NIHR203311"],"award-info":[{"award-number":["NIHR203311"]}],"id":[{"id":"10.13039\/501100013373","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["203139\/A\/16\/Z"],"award-info":[{"award-number":["203139\/A\/16\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["203139\/Z\/16\/Z"],"award-info":[{"award-number":["203139\/Z\/16\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000288","name":"Royal Society","doi-asserted-by":"publisher","award":["220204\/Z\/20\/Z"],"award-info":[{"award-number":["220204\/Z\/20\/Z"]}],"id":[{"id":"10.13039\/501100000288","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Segmented 3D Gradient and Spin Echo (GRASE) is commonly used in Arterial Spin Labeling (ASL) perfusion imaging. However, it is vulnerable to inter\u2010shot motion, leading to subtraction errors that cannot be corrected. We developed a retrospective self\u2010navigated inter\u2010shot motion correction method for segmented 3D\u2010GRASE ASL imaging with Controlled Aliasing in Parallel Imaging (CAIPI).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Multiple shots, each uniformly covering k\u2010space at distinct sample locations, allow a self\u2010navigator image to be reconstructed using SENSE for each shot. Rigid\u2010body motion estimation across the self\u2010navigators is incorporated into a motion\u2010compensated forward model for image reconstruction. To support self\u2010navigation, two CAIPI\u2010sampled segmented 3D\u2010GRASE trajectories ensuring full k\u2010space coverage were explored for point spread function profiles and g\u2010factor effects. Our approach was evaluated against conventional inter\u2010volume registration and a previously proposed method, alignedSENSE. Additionally, we compared tag\u2010control interleaving strategies to assess the impact on motion robustness in five healthy volunteers with instructed head motion.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>With instructed moderate head motion, our method effectively reduced motion artifacts and outperformed conventional inter\u2010volume correction by 12.3% in Pearson correlation coefficient, 4.5% in Structural Similarity Index Measure, and 40.1% in temporal SNR. It matched alignedSENSE performance while requiring only 20% of the computational time. All evaluated CAIPI sampling variants enabled robust motion correction, although tradeoffs were observed between through\u2010plane blurring and SNR. The tag\u2010control (T\/C) inner loop acquisition yielded better motion robustness across quantitative metrics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Self\u2010navigated inter\u2010shot motion correction using CAIPI sampling and a T\/C inner loop for segmented 3D\u2010GRASE ASL can improve image quality and motion robustness.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.70437","type":"journal-article","created":{"date-parts":[[2026,5,25]],"date-time":"2026-05-25T03:37:02Z","timestamp":1779680222000},"page":"1557-1571","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Inter\u2010Shot Motion Correction of Segmented\n                    <scp>3D<\/scp>\n                    \u2010\n                    <scp>GRASE ASL<\/scp>\n                    Perfusion Imaging With Self\u2010Navigation and\n                    <scp>CAIPI<\/scp>"],"prefix":"10.1002","volume":"96","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-3016-2427","authenticated-orcid":false,"given":"Minhao","family":"Hu","sequence":"first","affiliation":[{"name":"Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frederik J.","family":"Lange","sequence":"additional","affiliation":[{"name":"Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7912-2251","authenticated-orcid":false,"given":"Peter","family":"Jezzard","sequence":"additional","affiliation":[{"name":"Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0329-824X","authenticated-orcid":false,"given":"Joseph G.","family":"Woods","sequence":"additional","affiliation":[{"name":"Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford  Oxford UK"},{"name":"Department of Diagnostic, Interventional and Pediatric Radiology (DIPR), Inselspital Bern University Hospital, University of Bern  Bern Switzerland"},{"name":"Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine  Bern Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6272-8783","authenticated-orcid":false,"given":"Mark","family":"Chiew","sequence":"additional","affiliation":[{"name":"Physical Sciences Sunnybrook Research Institute  Toronto Ontario Canada"},{"name":"Department of Medical Biophysics University of Toronto  Toronto Ontario Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8258-0659","authenticated-orcid":false,"given":"Thomas W.","family":"Okell","sequence":"additional","affiliation":[{"name":"Oxford Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences University of Oxford  Oxford UK"},{"name":"The Podium Institute for Sports Medicine and Technology, Department of Engineering Science University of Oxford  Oxford UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,24]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.1910230106"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.89.1.212"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.25938"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1148\/rg.220088"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.29609"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25197"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.3389\/fradi.2022.929533"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2019.116337"},{"key":"e_1_2_10_10_1","first-page":"622","article-title":"Evaluation of New ASL 3D GRASE Sequences Using Parallel Imaging, Segmented and Interleaved k\u2010Space at 3T With 12\u2010 and 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