Cardiac flow component analysis

Wong, K, Tu, J, Kelso, R, Worthley, S, Sanders, P, Mazumdar, J and Abbott, D 2010, 'Cardiac flow component analysis', Medical Engineering & Physics, vol. 32, no. 2, pp. 174-188.

Document type: Journal Article
Collection: Journal Articles

Title Cardiac flow component analysis
Author(s) Wong, K
Tu, J
Kelso, R
Worthley, S
Sanders, P
Mazumdar, J
Abbott, D
Year 2010
Journal name Medical Engineering & Physics
Volume number 32
Issue number 2
Start page 174
End page 188
Total pages 15
Publisher Elsevier Ltd
Abstract In a chamber of the heart, large-scale vortices are shown to exist as the result of the dynamic blood flow and unique morphological changes of the chamber wall. As the cardiovascular flow varies over a cardiac cycle, there is a need for a robust quantification method to analyze its vorticity and circulation. We attempt to measure vortex characteristics by means of two-dimensional vorticity maps and vortex circulation. First, we develop vortex component analysis by segmenting the vortices using an data clustering algorithm before histograms of their vorticity distribution are generated. The next stage is to generate the statistics of the vorticity maps for each phase of the cardiac cycle to allow analysis of the flow. This is followed by evaluating the circulation of each segmented vortex. The proposed approach is dedicated to examining vortices within the human heart chamber. The vorticity field can indicate the strength and number of large-scale vortices in the chamber. We provide the results of the flow analysis after vorticity map segmentation and the statistical properties that characterize the vorticity components. The success of the cardiac measurement and analysis is illustrated by a case study of the right atrium. Our investigation shows that it is possible to utilize a data clustering algorithm to segment vortices after vorticity mapping, and that the vorticity and circulation analysis of a chamber vorticity can provide new insights into the blood flow within the cardiovascular structure.
Keyword(s) circulation
component flow analysis
data clustering
phase contrast magnetic resonance imaging
DOI - identifier 10.1016/j.medengphy.2009.11.007
Copyright notice © 2009 IPEM
ISSN 1350-4533
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Citation counts: TR Web of Science Citation Count  Cited 30 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 27 times in Scopus Article | Citations
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