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dc.contributor.authorSeemann, Felicia
dc.contributor.authorHeiberg, Einar
dc.contributor.authorCarlsson, Marcus
dc.contributor.authorGonzales, Ricardo A.
dc.contributor.authorBaldassarre, Lauren A.
dc.contributor.authorQiu, Maolin
dc.contributor.authorPeters, Dana C.
dc.date.accessioned2021-03-16T23:23:01Z
dc.date.available2021-03-16T23:23:01Z
dc.date.issued2019-10-25
dc.identifier.issn1522-2586es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12815/192
dc.description.abstractBackground: In mitral valve dysfunction, noninvasive measurement of transmitral blood flow is an important clinical examination. Flow imaging of the mitral valve, however, is challenging, since it moves in and out of the image plane during the cardiac cycle. Purpose: To more accurately measure mitral flow, a slice-following MRI phase contrast sequence is proposed. This study aimed to implement such a sequence, validate its slice-following functionality in a phantom and healthy subjects, and test its feasibility in patients with mitral valve dysfunction. Study Type: Prospective. Phantom and Subjects: The slice-following functionality was validated in a cone-shaped phantom by measuring the depicted slice radius. Sixteen healthy subjects and 10 mitral valve dysfunction patients were enrolled at two sites. Field Strength/Sequence: 1.5T and 3T gradient echo cine phase contrast. Assessment: A single breath-hold retrospectively gated sequence using offline feature-tracking of the mitral valve was developed. Valve displacements were measured and imported to the scanner, allowing the slice position to change dynamically based on the cardiac phase. Mitral valve imaging was performed with slice-following and static imaging planes. Validation was performed by comparing mitral stroke volume with planimetric and aortic stroke volume. Statistical Tests: Measurements were compared using linear regression, Pearson's R, parametric paired t-tests, Bland–Altman analysis, and intraclass correlation coefficient (ICC). Results: Phantom experiments confirmed accurate slice displacements. Slice-following was feasible in all subjects, yielding physiologically accurate mitral flow patterns. In healthy subjects, mitral and aortic stroke volumes agreed, with ICC = 0.72 and 0.90 for static and slice-following planes; with bias ±1 SDs 23.2 ± 13.2 mls and 8.4 ± 10.8 mls, respectively. Agreement with planimetry was stronger, with ICC = 0.84 and 0.96; bias ±1 SDs 13.7 ± 13.7 mls and –2.0 ± 8.8 mls for static and slice-following planes, respectively. Data Conclusion: Slice-following outperformed the conventional sequence and improved the accuracy of transmitral flow, which is important for assessment of diastolic function and mitral regurgitation.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherWileyes_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceRepositorio Institucional UTECes_PE
dc.sourceUniversidad de Ingeniería y Tecnología - UTECes_PE
dc.subjectMitral valve flowes_PE
dc.subjectSlice‐followinges_PE
dc.subjectCardiovascular magnetic resonancees_PE
dc.subjectPhase contrastes_PE
dc.subjectFeature‐trackinges_PE
dc.titleValvular imaging in the era of feature-tracking: A slice-following cardiac MR sequence to measure mitral flowes_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.identifier.doihttps://doi.org/10.1002/jmri.26971es_PE
dc.identifier.journalJournal of Magnetic Resonance Imaginges_PE


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