Non-rigid motion-compensated 3D whole-heart T<sub>2</sub> mapping in a hybrid 3T PET-MR system

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dc.contributor.authorSchneider, Alina
dc.contributor.authorMunoz, Camila
dc.contributor.authorHua, Alina
dc.contributor.authorEllis, Sam
dc.contributor.authorJeljeli, Sami
dc.contributor.authorKunze, Karl P.
dc.contributor.authorNeji, Radhouene
dc.contributor.authorReader, Andrew J.
dc.contributor.authorReyes, Eliana
dc.contributor.authorIsmail, Tevfik F.
dc.contributor.authorBotnar, Rene M.
dc.contributor.authorPrieto, Claudia
dc.date.accessioned2025-01-20T17:10:33Z
dc.date.available2025-01-20T17:10:33Z
dc.date.issued2024
dc.description.abstractPurpose: Simultaneous PET-MRI improves inflammatory cardiac disease diagnosis. However, challenges persist in respiratory motion and mis-registration between free-breathing 3D PET and 2D breath-held MR images. We propose a free-breathing non-rigid motion-compensated 3D T-2-mapping sequence enabling whole-heart myocardial tissue characterization in a hybrid 3T PET-MR system and provides non-rigid respiratory motion fields to correct also simultaneously acquired PET data.Methods: Free-breathing 3D whole-heart T-2-mapping was implemented on a hybrid 3T PET-MRI system. Three datasets were acquired with different T-2-preparation modules (0, 28, 55 ms) using 3-fold under sampled variable-density Cartesian trajectory. Respiratory motion was estimated via virtual 3D image navigators, enabling multi-contrast non-rigid motion-corrected MR reconstruction. T-2-maps were computed using dictionary-matching. Approach was tested in phantom, 8 healthy subjects, 14 MR only and 2 PET-MR patients with suspected cardiac disease and compared with spin echo reference (phantom) and clinical 2D T-2-mapping (in-vivo).Results: Phantom results show a high correlation (R-2 = 0.996) between proposed approach and gold standard 2D T-2 mapping. In-vivo 3D T-2-mapping average values in healthy subjects (39.0 +/- 1.4 ms) and patients (healthy tissue) (39.1 +/- 1.4 ms) agree with conventional 2D T-2-mapping (healthy = 38.6 +/- 1.2 ms, patients = 40.3 +/- 1.7 ms). Bland-Altman analysis reveals bias of 1.8 ms and 95% limits of agreement (LOA) of -2.4-6 ms for healthy subjects, and bias of 1.3 ms and 95% LOA of -1.9 to 4.6 ms for patients.Conclusion: Validated efficient 3D whole-heart T-2-mapping at hybrid 3T PET-MRI provides myocardial inflammation characterization and non-rigid respiratory motion fields for simultaneous PET data correction. Comparable T-2 values were achieved with both 3D and 2D methods. Improved image quality was observed in the PET images after MR-based motion correction.
dc.fuente.origenWOS
dc.identifier.doi10.1002/mrm.29973
dc.identifier.eissn1522-2594
dc.identifier.issn0740-3194
dc.identifier.urihttps://doi.org/10.1002/mrm.29973
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/91117
dc.identifier.wosidWOS:001137050200001
dc.issue.numero5
dc.language.isoen
dc.pagina.final1964
dc.pagina.inicio1951
dc.revistaMagnetic resonance in medicine
dc.rightsacceso restringido
dc.subject3D T-2 mapping
dc.subjectnon-rigid motion compensation
dc.subjectquantitative cardiac MRI
dc.subjectwhole heart
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleNon-rigid motion-compensated 3D whole-heart T<sub>2</sub> mapping in a hybrid 3T PET-MR system
dc.typeartículo
dc.volumen91
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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