{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T18:04:09Z","timestamp":1780596249148,"version":"3.54.1"},"reference-count":48,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,1,29]],"date-time":"2025-01-29T00:00:00Z","timestamp":1738108800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100006579","name":"Ministry of Industry and Information Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["2020\u20100103\u20103\u20101"],"award-info":[{"award-number":["2020\u20100103\u20103\u20101"]}],"id":[{"id":"10.13039\/501100006579","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance Imaging"],"published-print":{"date-parts":[[2025,6]]},"abstract":"<jats:sec><jats:title>Background<\/jats:title><jats:p>Conventional quantitative MRI (qMRI) scan is time\u2010consuming and highly sensitive to movements, posing great challenges for quantitative images of individuals with involuntary movements, such as Huntington's disease (HD).<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To evaluate the potential of our developed ultra\u2010fast qMRI technique, multiple overlapping\u2010echo detachment (MOLED), in overcoming involuntary head motion and its capacity to quantitatively assess tissue changes in HD.<\/jats:p><\/jats:sec><jats:sec><jats:title>Study Type<\/jats:title><jats:p>Prospective.<\/jats:p><\/jats:sec><jats:sec><jats:title>Phantom\/Subjects<\/jats:title><jats:p>A phantom comprising 13 tubes of MnCl<jats:sub>2<\/jats:sub> at varying concentrations, 5 healthy volunteers (male\/female: 1\/4), 22 HD patients (male\/female: 14\/8) and 27 healthy controls (male\/female: 15\/12).<\/jats:p><\/jats:sec><jats:sec><jats:title>Field Strength\/Sequence<\/jats:title><jats:p>3.0\u2009T. <jats:styled-content style=\"fixed-case\">MOLED<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">T2<\/jats:styled-content> sequence, <jats:styled-content style=\"fixed-case\">MOLED<\/jats:styled-content>\u2010<jats:styled-content style=\"fixed-case\">T2<\/jats:styled-content>* sequence, <jats:styled-content style=\"fixed-case\">T2<\/jats:styled-content>\u2010weighted spin\u2010echo sequence, <jats:styled-content style=\"fixed-case\">T1<\/jats:styled-content>\u2010weighted gradient echo sequence, and <jats:styled-content style=\"fixed-case\">T2<\/jats:styled-content>\u2010dark\u2010fluid sequence.<\/jats:p><\/jats:sec><jats:sec><jats:title>Assessment<\/jats:title><jats:p>T1\u2010weighted images were reconstructed into high\u2010resolution images, followed by segmentation to delineate regions of interest (ROIs). Subsequently, the MOLED T2 and T2* maps were aligned with the high\u2010resolution images, and the ROIs were transformed into the MOLED image space using the transformation matrix and warp field. Finally, T2 and T2* values were extracted from the MOLED relaxation maps.<\/jats:p><\/jats:sec><jats:sec><jats:title>Statistical Tests<\/jats:title><jats:p>Bland\u2013Altman analysis, independent <jats:italic>t<\/jats:italic> test, Mann\u2013Whitney <jats:italic>U<\/jats:italic> test, Pearson correlation analysis, and Spearman correlation analysis, <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.05 was considered statistically significant.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>MOLED\u2010T2 and MOLED\u2010T2* sequences demonstrated good accuracy (Meandiff\u2009=\u2009\u2212 0.20%, SDdiff\u2009=\u20091.05%, and Meandiff\u2009=\u2009\u22121.73%, SDdiff\u2009=\u200910.98%, respectively), and good repeatability (average intraclass correlation coefficient: 0.856 and 0.853, respectively). More important, MOLED T2 and T2* maps remained artifact\u2010free across all HD patients, even in the presence of apparent head motions. Moreover, there were significant differences in T2 and T2* values across multiple ROIs between HD and controls.<\/jats:p><\/jats:sec><jats:sec><jats:title>Data Conclusion<\/jats:title><jats:p>The ultra\u2010fast scanning capabilities of MOLED effectively mitigate the impact of head movements, offering a robust solution for quantitative imaging in HD. Moreover, T2 and T2* values derived from MOLED provide powerful capabilities for quantifying tissue changes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Plain Language Summary<\/jats:title><jats:p>Quantitative MRI scan is time\u2010consuming and sensitive to movements. Consequently, obtaining quantitative images is challenging for patients with involuntary movements, such as those with Huntington's Disease (HD). In response, a newly developed MOLED technique has been introduced, promising to resist motion through ultra\u2010fast scan. This technique has demonstrated excellent accuracy and reproducibility and importantly all HD patient's MOLED maps remained artifacts\u2010free. Additionally, there were significant differences in T2 and T2\u2217 values across ROIs between HD and controls. The robust resistance of MOLED to motion makes it particularly suitable for quantitative assessments in patients prone to involuntary movements.<\/jats:p><\/jats:sec><jats:sec><jats:title>Level of Evidence<\/jats:title><jats:p>2<\/jats:p><\/jats:sec><jats:sec><jats:title>Technical Efficacy<\/jats:title><jats:p>Stage 1<\/jats:p><\/jats:sec>","DOI":"10.1002\/jmri.29682","type":"journal-article","created":{"date-parts":[[2025,1,30]],"date-time":"2025-01-30T01:04:30Z","timestamp":1738199070000},"page":"2455-2468","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Application of Anti\u2010Motion Ultra\u2010Fast Quantitative <scp>MRI<\/scp> in Neurological Disorder Imaging: Insights From Huntington's Disease"],"prefix":"10.1002","volume":"61","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0987-3561","authenticated-orcid":false,"given":"Fei","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Magnetic 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