Automatic correction of background phase offset in 4D-flow of great vessels and of the heart in MRI using a third-order surface model.
Adolescent
Adult
Algorithms
Aorta, Abdominal
/ diagnostic imaging
Aorta, Thoracic
/ diagnostic imaging
Electrocardiography
Female
Healthy Volunteers
Heart
/ diagnostic imaging
Hemodynamics
Humans
Image Processing, Computer-Assisted
/ methods
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
Middle Aged
Pattern Recognition, Automated
/ methods
Phantoms, Imaging
Pulmonary Artery
/ diagnostic imaging
Reproducibility of Results
Young Adult
Blood flow
Eddy currents
Phase-contrast MRI
Velocity offset error
Journal
Magma (New York, N.Y.)
ISSN: 1352-8661
Titre abrégé: MAGMA
Pays: Germany
ID NLM: 9310752
Informations de publication
Date de publication:
Dec 2019
Dec 2019
Historique:
received:
22
02
2019
accepted:
13
06
2019
revised:
03
06
2019
pubmed:
24
6
2019
medline:
10
4
2020
entrez:
24
6
2019
Statut:
ppublish
Résumé
To evaluate an automatic correction method for velocity offset errors in cardiac 4D-flow acquisitions. 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. 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 (r An automatic third-order model corrected velocity offset errors in 4D-flow acquisitions, achieving acceptable levels for clinical applications.
Identifiants
pubmed: 31230182
doi: 10.1007/s10334-019-00765-z
pii: 10.1007/s10334-019-00765-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
629-642Subventions
Organisme : Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires
ID : PICT 2016-0945
Organisme : Consejo Nacional de Innovación, Ciencia y Tecnología
ID : PIP 1220130100480
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