{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T12:20:48Z","timestamp":1760012448473},"reference-count":35,"publisher":"Wiley","issue":"11","license":[{"start":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T00:00:00Z","timestamp":1657497600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["aapm.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Medical Physics"],"published-print":{"date-parts":[[2022,11]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Respiratory motion correction is of importance in studies of coronary plaques employing <jats:sup>18<\/jats:sup>F\u2010NaF; however, the validation of motion correction techniques mainly relies on indirect measures such as test\u2013retest repeatability assessments. In this study, we aim to compare and, thus, validate the respiratory motion vector fields obtained from the positron emission tomography (PET) images directly to the respiratory motion observed during four\u2010dimensional cine\u2010computed tomography (CT) by an expert observer.<\/jats:p><\/jats:sec><jats:sec><jats:title>Purpose<\/jats:title><jats:p>To investigate the accuracy of the motion correction employed in a software (FusionQuant) used for evaluation of <jats:sup>18<\/jats:sup>F\u2010NaF PET studies by comparing the respiratory motion of the coronary plaques observed in PET to the respiratory motion observed in 4D cine\u2010CT images.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This study included 23 patients who undertook thoracic PET scans for the assessment of coronary plaques using <jats:sup>18<\/jats:sup>F\u2010sodium fluoride (<jats:sup>18<\/jats:sup>F\u2010NaF). All patients underwent a 5\u2010s cine\u2010CT (4D\u2010CT), a coronary CT angiography (CTA), and <jats:sup>18<\/jats:sup>F\u2010NaF PET. The 4D\u2010CT and PET scan were reconstructed into 10 phases. Respiratory motion was estimated for the non\u2010contrast visible coronary plaques using diffeomorphic registrations (PET) and compared to respiratory motion observed on 4D\u2010CT. We report the PET motion vector fields obtained in the three principal axes in addition to the 3D motion. Statistical differences were examined using paired <jats:italic>t<\/jats:italic>\u2010tests. Signal\u2010to\u2010noise ratios (SNR) are reported for the single\u2010phase images (end\u2010expiratory phase) and for the motion\u2010corrected image\u2010series (employing the motion vector fields extracted during the diffeomorphic registrations).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In total, 19 coronary plaques were identified in 16 patients. No statistical differences were observed for the maximum respiratory motion observed in <jats:italic>x<\/jats:italic>, <jats:italic>y<\/jats:italic>, and the 3D motion fields (magnitude and direction) between the CT and PET (<jats:italic>X<\/jats:italic> direction: 4D CT\u00a0=\u00a02.5\u00a0\u00b1\u00a01.5\u00a0mm, PET\u00a0=\u00a02.4\u00a0\u00b1\u00a03.2\u00a0mm; <jats:italic>Y<\/jats:italic> direction: 4D CT\u00a0=\u00a02.3\u00a0\u00b1\u00a01.9\u00a0mm, PET\u00a0=\u00a00.7\u00a0\u00b1\u00a02.9\u00a0mm, 3D motion: 4D CT\u00a0=\u00a06.6\u00a0\u00b1\u00a03.1\u00a0mm, PET\u00a0=\u00a05.7\u00a0\u00b1\u00a02.6\u00a0mm, all <jats:italic>p<\/jats:italic>\u00a0\u2265\u00a00.05). Significant differences in respiratory motion were observed in the systems\u2019 <jats:italic>Z<\/jats:italic> direction: 4D CT\u00a0=\u00a04.9\u00a0\u00b1\u00a03.4\u00a0mm, PET\u00a0=\u00a02.3\u00a0\u00b1\u00a03.2\u00a0mm, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.04. Significantly improved SNR is reported for the motion corrected images compared to the end\u2010expiratory phase images (end\u2010expiratory phase\u00a0=\u00a06.8\u00b14.8, motion corrected\u00a0=\u00a012.2\u00b14.5, <jats:italic>p<\/jats:italic>\u00a0=\u00a00.001).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Similar respiratory motion was observed in two directions and 3D for coronary plaques on 4D CT as detected by automatic respiratory motion correction of coronary PET using FusionQuant. The respiratory motion correction technique significantly improved the SNR in the images.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mp.15834","type":"journal-article","created":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T12:38:47Z","timestamp":1656506327000},"page":"7085-7094","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Anatomical validation of automatic respiratory motion correction for coronary 18F\u2010sodium fluoride positron emission tomography by expert measurements from four\u2010dimensional computed tomography"],"prefix":"10.1002","volume":"49","author":[{"given":"Martin Lyngby","family":"Lassen","sequence":"first","affiliation":[{"name":"Department of Medicine (Division of Artificial Intelligence), Biomedical Sciences, and Imaging Cedars\u2010Sinai Medical Center  Los Angeles California USA"},{"name":"Department of Clinical Physiology, Nuclear Medicine and PET and Cluster for Molecular Imaging 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