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Τίτλος: Alternative control volume geometries for measuring regurgitant flow through a valve
Συγγραφείς: Kortright, Eduardo 
Xia, Rui 
Anayiotos, Andreas 
metadata.dc.contributor.other: Αναγιωτός, Ανδρέας
Major Field of Science: Engineering and Technology
Field Category: ENGINEERING AND TECHNOLOGY
Λέξεις-κλειδιά: Accuracy;Magnetic resonance imaging;Geometry;Measurement
Ημερομηνία Έκδοσης: 2004
Πηγή: Technology and Health Care, 2004, vol. 12, no. 6, pp. 455-468
Volume: 12
Issue: 6
Start page: 455
End page: 468
Περιοδικό: Technology and Health Care 
Περίληψη: Control-volume (CV) methods applied to magnetic resonance velocity-encoded cine images of the convergent proximal flow field of a regurgitant valve have been shown to measure reverse blood flow volume accurately. Spatial and temporal averaging are known to affect accuracy, but the effects of slice thickness and orientation relative to the flow field have not been systematically studied, nor have CV configurations requiring fewer scans been explored. Further, surface area calculations at the intersection of CV walls are a previously unrecognized source of error. Using a computational fluid dynamics model of steady flow through an orifice, we evaluated five different CV configurations in terms of accuracy, time costs, and clinical potential. CVs incorporating a basal wall were affected by blurring of axial velocity gradients near the orifice, and voxel grid alignment relative to the orifice was the most significant source of inaccuracy. Errors in surface area calculations at plane intersections produced deviations of 7-20%, depending on configuration. A CV formed by slices parallel to the orifice plane was deemed clinically unusable, while a cylindrical CV yielded good accuracy in simulated tests and showed potential for practical implementation based on scan time, ease of view selection, and visualization of the flow field.
URI: https://hdl.handle.net/20.500.14279/1723
ISSN: 09287329
DOI: 10.5555/1149639.1149644
Rights: © IOS Press
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Affiliation: University of New Orleans 
Εμφανίζεται στις συλλογές:Άρθρα/Articles

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