Automatic correction of background phase offset in 4D-flow of great vessels and of the heart in MRI using a third-order surface model
Objective To evaluate an automatic correction method for velocity offset errors in cardiac 4D-flow acquisitions. Materials and methods Velocity offset correction was done in a plane-by-plane scheme and compared to a volumetric approach. Stationary regions were automatically detected. In vitro experiments were conducted in a phantom using two orientations and two encoding velocities (Venc). First- to third-order models were fit to the time-averaged images of the three velocity components. In vivo experiments included realistic ROIs in a volunteer superimposed to a phantom. In 15 volunteers, blood flow volume of the proximal and distal descending aorta, of the pulmonary artery (Qp) and the ascending aorta (Qs) was compared. Results Offset errors were reduced after correction with a third-order model, yielding residual phantom velocities below 0.6 cm/s and 0.4% of Venc. The plane-by-plane correction method was more effective than the volumetric approach. Mean velocities through superimposed ROIs of a volunteer vs phantom were highly correlated (r2 = 0.96). The significant difference between proximal and distal descending aortic flows was decreased after correction from 8.1 to − 1.4 ml (p < 0.001) and Qp/Qs reduced from 1.08 ± 0.09 to 1.01 ± 0.05. Discussion An automatic third-order model corrected velocity offset errors in 4D-flow acquisitions, achieving acceptable levels for clinical applications..
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Artikel |
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Erscheinungsjahr: |
2019 |
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Erschienen: |
2019 |
Enthalten in: |
Zur Gesamtaufnahme - volume:32 |
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Enthalten in: |
Magnetic resonance materials in physics, biology and medicine - 32(2019), 6 vom: 22. Juni, Seite 629-642 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Craiem, Damian [VerfasserIn] |
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Links: |
Volltext [lizenzpflichtig] |
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Themen: |
Blood flow |
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Anmerkungen: |
© European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2019 |
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doi: |
10.1007/s10334-019-00765-z |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
OLC211024576X |
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245 | 1 | 0 | |a Automatic correction of background phase offset in 4D-flow of great vessels and of the heart in MRI using a third-order surface model |
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520 | |a Objective To evaluate an automatic correction method for velocity offset errors in cardiac 4D-flow acquisitions. Materials and methods Velocity offset correction was done in a plane-by-plane scheme and compared to a volumetric approach. Stationary regions were automatically detected. In vitro experiments were conducted in a phantom using two orientations and two encoding velocities (Venc). First- to third-order models were fit to the time-averaged images of the three velocity components. In vivo experiments included realistic ROIs in a volunteer superimposed to a phantom. In 15 volunteers, blood flow volume of the proximal and distal descending aorta, of the pulmonary artery (Qp) and the ascending aorta (Qs) was compared. Results Offset errors were reduced after correction with a third-order model, yielding residual phantom velocities below 0.6 cm/s and 0.4% of Venc. The plane-by-plane correction method was more effective than the volumetric approach. Mean velocities through superimposed ROIs of a volunteer vs phantom were highly correlated (r2 = 0.96). The significant difference between proximal and distal descending aortic flows was decreased after correction from 8.1 to − 1.4 ml (p < 0.001) and Qp/Qs reduced from 1.08 ± 0.09 to 1.01 ± 0.05. Discussion An automatic third-order model corrected velocity offset errors in 4D-flow acquisitions, achieving acceptable levels for clinical applications. | ||
650 | 4 | |a Phase-contrast MRI | |
650 | 4 | |a Eddy currents | |
650 | 4 | |a Velocity offset error | |
650 | 4 | |a Blood flow | |
700 | 1 | |a Pascaner, Ariel F. |4 aut | |
700 | 1 | |a Casciaro, Mariano E. |4 aut | |
700 | 1 | |a Gencer, Umit |4 aut | |
700 | 1 | |a Alcibar, Joaquin |4 aut | |
700 | 1 | |a Soulat, Gilles |4 aut | |
700 | 1 | |a Mousseaux, Elie |4 aut | |
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