{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T13:30:20Z","timestamp":1793626220133,"version":"4.5.1"},"reference-count":51,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2027,10,9]],"date-time":"2027-10-09T00:00:00Z","timestamp":1823040000000},"content-version":"am","delay-in-days":281,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2027,1,1]],"date-time":"2027-01-01T00:00:00Z","timestamp":1798761600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 NS124212"],"award-info":[{"award-number":["R01 NS124212"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 EB019483"],"award-info":[{"award-number":["R01 EB019483"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 LM013608"],"award-info":[{"award-number":["R01 LM013608"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Medical Image Analysis"],"published-print":{"date-parts":[[2027,1]]},"DOI":"10.1016\/j.media.2026.104345","type":"journal-article","created":{"date-parts":[[2026,10,6]],"date-time":"2026-10-06T20:44:32Z","timestamp":1791319472000},"page":"104345","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["A self-navigated framework for motion detection and spoke-reordering musculoskeletal dynamic reconstruction in 3D radial MRI"],"prefix":"10.1016","volume":"115","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3971-8389","authenticated-orcid":false,"given":"Enping","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatih","family":"Calakli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6698-838X","authenticated-orcid":false,"given":"Musa Tun\u00e7","family":"Arslan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3642-7634","authenticated-orcid":false,"given":"Giovani Schulte","family":"Farina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon Keith","family":"Warfield","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.media.2026.104345_b1","doi-asserted-by":"crossref","first-page":"1728","DOI":"10.1007\/s00247-016-3677-9","article-title":"Evaluation of motion and its effect on brain magnetic resonance image quality in children","volume":"46","author":"Afacan","year":"2016","journal-title":"Pediatr. Radiol."},{"key":"10.1016\/j.media.2026.104345_b2","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1002\/mrm.27934","article-title":"Retrospective correction of head motion using measurements from an electromagnetic tracker","volume":"83","author":"Afacan","year":"2020","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b3","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.mri.2022.06.015","article-title":"High-resolution CINE imaging of active guided knee motion using continuously acquired golden-angle radial MRI and rotary sensor information","volume":"92","author":"Aleksiev","year":"2022","journal-title":"Magn. Reson. Imaging"},{"issue":"4","key":"10.1016\/j.media.2026.104345_b4","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1002\/mrm.24348","article-title":"Adaptive retrospective correction of motion artifacts in cranial MRI with multicoil three-dimensional radial acquisitions","volume":"69","author":"Anderson, III","year":"2013","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b5","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1016\/j.jacr.2015.03.007","article-title":"Toward quantifying the prevalence, severity, and cost associated with patient motion during clinical MR examinations","volume":"12","author":"Andre","year":"2015","journal-title":"J. Am. Coll. Radiol."},{"key":"10.1016\/j.media.2026.104345_b6","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1002\/mrm.22717","article-title":"3D radial sampling and 3D affine transform-based respiratory motion correction technique for free-breathing whole-heart coronary MRA with 100% imaging efficiency","volume":"65","author":"Bhat","year":"2011","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b7","unstructured":"Calakli, F., Wallace, T.E., Warfield, S.K., 2024. Streaming-MoCo: Real-Time Motion-Compensated Image Reconstruction from 3D Non-Cartesian MRI. In: Proceedings of the 32nd Annual Meeting of ISMRM. In: ISMRM & ISMRT Annual Meeting & Exhibition, Singapore."},{"key":"10.1016\/j.media.2026.104345_b8","article-title":"DADP: Dynamic abnormality detection and progression for longitudinal knee magnetic resonance images from the osteoarthritis initiative","volume":"77","author":"Chao","year":"2022","journal-title":"Med. Image Anal."},{"issue":"3","key":"10.1016\/j.media.2026.104345_b9","doi-asserted-by":"crossref","first-page":"1030","DOI":"10.1002\/mrm.25670","article-title":"Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators 3D FatNavs at 7T","volume":"75","author":"Gallichan","year":"2016","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b10","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1002\/mrm.1910290310","article-title":"Consistent projection reconstruction (CPR) techniques for MRI","volume":"29","author":"Glover","year":"1993","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b11","doi-asserted-by":"crossref","first-page":"R32","DOI":"10.1088\/0031-9155\/61\/5\/R32","article-title":"Motion correction in MRI of the brain","volume":"61","author":"Godenschweger","year":"2016","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.media.2026.104345_b12","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1002\/mrm.27106","article-title":"Deep learning with domain adaptation for accelerated projection-reconstruction MR","volume":"80","author":"Han","year":"2018","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b13","doi-asserted-by":"crossref","DOI":"10.1002\/mrm.27771","article-title":"Network accelerated motion estimation and reduction (NAMER): convolutional neural network guided retrospective motion correction using a separable motion model","author":"Haskell","year":"2019","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b14","doi-asserted-by":"crossref","DOI":"10.1542\/peds.2015-0463","article-title":"Preterm versus term children: analysis of sedation\/anesthesia adverse events and longitudinal risk","volume":"137","author":"Havidich","year":"2016","journal-title":"Pediatrics"},{"issue":"4","key":"10.1016\/j.media.2026.104345_b15","article-title":"Prospective motion correction in pediatric neuroimaging with KinetiCor","volume":"75","author":"Jaimes","year":"2019","journal-title":"MAGNETOM Flash"},{"key":"10.1016\/j.media.2026.104345_b16","article-title":"Unrolled and rapid motion-compensated reconstruction for cardiac CINE MRI","volume":"91","author":"Jiazhen","year":"2024","journal-title":"Med. Image Anal."},{"issue":"3","key":"10.1016\/j.media.2026.104345_b17","doi-asserted-by":"crossref","first-page":"1040","DOI":"10.1002\/mrm.25674","article-title":"MPnRAGE: A technique to simultaneously acquire hundreds of differently contrasted MPRAGE images with applications to quantitative T1 mapping","volume":"75","author":"Kecskemeti","year":"2016","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"10.1016\/j.media.2026.104345_b18","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1148\/radiol.2018180180","article-title":"Robust motion correction strategy for structural MRI in unsedated children demonstrated with three-dimensional radial MPnRAGE","volume":"289","author":"Kecskemeti","year":"2018","journal-title":"Radiology"},{"key":"10.1016\/j.media.2026.104345_b19","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1002\/mrm.27783","article-title":"Retrospective correction of motion-affected MR images using deep learning frameworks","volume":"82","author":"K\u00fcstner","year":"2019","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"10.1016\/j.media.2026.104345_b20","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1002\/mrm.10664","article-title":"Self-gated cardiac cine MRI","volume":"51","author":"Larson","year":"2004","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b21","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1002\/mrm.30082","article-title":"Accelerated motion correction with deep generative diffusion models","volume":"92","author":"Levac","year":"2024","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b22","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1002\/mrm.30159","article-title":"Improved motion correction in brain MRI using 3D radial trajectory and projection moment analysis","volume":"92","author":"Li","year":"2024","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b23","first-page":"1","article-title":"Deep feature selection for anomaly detection based on pretrained network and Gaussian discriminative analysis","volume":"1","author":"Lin","year":"2022","journal-title":"IEEE Open J. Instrum. Meas."},{"issue":"10","key":"10.1016\/j.media.2026.104345_b24","doi-asserted-by":"crossref","DOI":"10.1118\/1.4820369","article-title":"A slice-to-volume registration method based on real-time magnetic resonance imaging for measuring three-dimensional kinematics of the knee","volume":"40","author":"Lin","year":"2013","journal-title":"Med. Phys."},{"key":"10.1016\/j.media.2026.104345_b25","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1016\/j.jbiomech.2019.02.007","article-title":"In vivo ankle joint kinematics from dynamic magnetic resonance imaging using a registration-based framework","volume":"86","author":"Makki","year":"2019","journal-title":"J. Biomech."},{"key":"10.1016\/j.media.2026.104345_b26","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1093\/oxfordjournals.bja.a013586","article-title":"Sedation and general anaesthesia in children undergoing MRI and CT: adverse events and outcomes","volume":"84","author":"Malviya","year":"2000","journal-title":"Br. J. Anaesth."},{"issue":"4","key":"10.1016\/j.media.2026.104345_b27","doi-asserted-by":"crossref","first-page":"1297","DOI":"10.1002\/mrm.29705","article-title":"Robust retrospective motion correction of head motion using navigator-based and markerless motion tracking techniques","volume":"90","author":"Marchetto","year":"2023","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b28","article-title":"Automatic brain MRI motion artifact detection based on end-to-end deep learning is similarly effective as traditional machine learning trained on image quality metrics","volume":"88","author":"P\u00e1l","year":"2023","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.media.2026.104345_b29","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1002\/mrm.22898","article-title":"Spiral phyllotaxis: the natural way to construct a 3D radial trajectory in MRI","volume":"66","author":"Piccini","year":"2011","journal-title":"Magn. Reson. Med."},{"issue":"5","key":"10.1016\/j.media.2026.104345_b30","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1002\/(SICI)1522-2594(199911)42:5<963::AID-MRM17>3.0.CO;2-L","article-title":"Motion correction with PROPELLER MRI: Application to head motion and free-breathing cardiac imaging","volume":"42","author":"Pipe","year":"1999","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b31","first-page":"262","article-title":"\u00dcber die bestimmung von funktionen durch ihre integralwerte l\u00e4ngs gewisser mannigfaltigkeiten","volume":"69","author":"Radon","year":"1917","journal-title":"Berichte S\u00e4chsischen Akad. Wiss. Leipz. Math.-Phys. Kl."},{"issue":"4","key":"10.1016\/j.media.2026.104345_b32","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1109\/TMI.1986.4307775","article-title":"On the determination of functions from their integral values along certain manifolds","volume":"5","author":"Radon","year":"1986","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104345_b33","doi-asserted-by":"crossref","DOI":"10.1016\/j.neuroimage.2022.119711","article-title":"Motion-corrected 4D-flow MRI for neurovascular applications","volume":"264","author":"Rivera-Rivera","year":"2022","journal-title":"Neuroimage"},{"key":"10.1016\/j.media.2026.104345_b34","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1002\/1522-2594(200102)45:2<277::AID-MRM1037>3.0.CO;2-1","article-title":"Two-step navigatorless correction algorithm for radial k-space MRI acquisitions","volume":"45","author":"Shankaranarayanan","year":"2001","journal-title":"Magn. Reson. Med."},{"issue":"3","key":"10.1016\/j.media.2026.104345_b35","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1002\/jmri.27112","article-title":"Quantifying the financial savings of motion correction in brain MRI: a model-based estimate of the costs arising from patient head motion and potential savings from implementation of motion correction","volume":"52","author":"Slipsager","year":"2020","journal-title":"J. Magn. Reson. Imaging"},{"issue":"5","key":"10.1016\/j.media.2026.104345_b36","doi-asserted-by":"crossref","first-page":"2672","DOI":"10.1002\/mrm.28616","article-title":"Free-breathing radial imaging using a pilot-tone radiofrequency transmitter for detection of respiratory motion","volume":"85","author":"Solomon","year":"2021","journal-title":"Magn. Reson. Med."},{"issue":"2","key":"10.1016\/j.media.2026.104345_b37","doi-asserted-by":"crossref","DOI":"10.1109\/TMI.2023.3323215","article-title":"Deep learning for retrospective motion correction in MRI: a comprehensive review","volume":"43","author":"Spieker","year":"2024","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104345_b38","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1002\/mrm.23228","article-title":"Volumetric navigators for prospective motion correction and selective reacquisition in neuroanatomical MRI","volume":"68","author":"Tisdall","year":"2012","journal-title":"Magn. Reson. Med."},{"issue":"5","key":"10.1016\/j.media.2026.104345_b39","doi-asserted-by":"crossref","first-page":"1876","DOI":"10.1002\/mrm.29967","article-title":"Servo navigators: Linear regression and feedback control for rigid-body motion correction","volume":"91","author":"Ulrich","year":"2024","journal-title":"Magn. Reson. Med."},{"issue":"1","key":"10.1016\/j.media.2026.104345_b40","doi-asserted-by":"crossref","DOI":"10.1109\/TMI.2013.2268898","article-title":"Retrospective rigid motion correction in k-space for segmented radial MRI","volume":"33","author":"Vaillant","year":"2014","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.media.2026.104345_b41","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1148\/radiol.10091124","article-title":"Effect of anesthesia and sedation on pediatric MR imaging patient flow","volume":"256","author":"Vanderby","year":"2010","journal-title":"Radiology"},{"issue":"6","key":"10.1016\/j.media.2026.104345_b42","doi-asserted-by":"crossref","first-page":"3169","DOI":"10.1002\/mrm.28649","article-title":"Free induction decay navigator motion metrics for prediction of diagnostic image quality in pediatric MRI","volume":"85","author":"Wallace","year":"2021","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b43","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1002\/mrm.27957","article-title":"Rapid measurement and correction of spatiotemporal B0 field changes using FID navigators and a multi-channel reference image","volume":"83","author":"Wallace","year":"2020","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b44","unstructured":"Wallace, T.E., Piccini, D., Kober, T., Warfield, S.K., Afacan, O., 2020b. Motion-compensated 3D radial MRI using self-encoded FID navigators. In: Proceedings of the 28th Annual Meeting of ISMRM. In: ISMRM & ISMRT Annual Meeting & Exhibition, Virtual Conference, p. 462."},{"key":"10.1016\/j.media.2026.104345_b45","doi-asserted-by":"crossref","first-page":"1057","DOI":"10.1002\/mrm.29899","article-title":"Rapid motion estimation and correction using self-encoded FID navigators in 3D radial MRI","volume":"91","author":"Wallace","year":"2024","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b46","doi-asserted-by":"crossref","first-page":"1294","DOI":"10.1002\/mrm.28505","article-title":"Dynamic distortion correction for functional MRI using FID navigators","volume":"85","author":"Wallace","year":"2020","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b47","unstructured":"Wallace, T.E., Warfield, S.K., Afacan, O., 2019. Robust retrospective correction of 3D golden-ratio radial MRI using electromagnetic tracking. In: Proceedings of the 27th Annual Meeting of ISMRM. In: ISMRM & ISMRT Annual Meeting & Exhibition, Paris, France."},{"key":"10.1016\/j.media.2026.104345_b48","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1002\/mrm.10012","article-title":"Spherical navigator echoes for full 3D rigid body motion measurement in MRI","volume":"47","author":"Welch","year":"2002","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b49","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1002\/mrm.20151","article-title":"Self-navigated motion correction using moments of spatial projections in radial MRI","volume":"52","author":"Welch","year":"2004","journal-title":"Magn. Reson. Med."},{"key":"10.1016\/j.media.2026.104345_b50","series-title":"Moner: motion correction in undersampled radial MRI with unsupervised neural representation","author":"Wu","year":"2024"},{"key":"10.1016\/j.media.2026.104345_b51","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1002\/jmri.24850","article-title":"Motion artifacts in MRI: a complex problem with many partial solutions","volume":"42","author":"Zaitsev","year":"2015","journal-title":"J. Magn. Reson. Imaging"}],"container-title":["Medical Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841526004147?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1361841526004147?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,11,2]],"date-time":"2026-11-02T12:58:30Z","timestamp":1793624310000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1361841526004147"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2027,1]]},"references-count":51,"alternative-id":["S1361841526004147"],"URL":"https:\/\/doi.org\/10.1016\/j.media.2026.104345","relation":{},"ISSN":["1361-8415"],"issn-type":[{"value":"1361-8415","type":"print"}],"subject":[],"published":{"date-parts":[[2027,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A self-navigated framework for motion detection and spoke-reordering musculoskeletal dynamic reconstruction in 3D radial MRI","name":"articletitle","label":"Article Title"},{"value":"Medical Image Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.media.2026.104345","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"104345"}}