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Abstract
The motivation to focus on coherent structure detection in cardiovascular systems is two-fold: 1) the ability to reliably detect abnormal inefficient flow patterns from a normal optimal state; and ...
Highlights
The motivation to focus on coherent structure detection in cardiovascular systems is two-fold: 1) the ability to reliably detect abnormal inefficient flow patterns from a normal optimal state; and 2) the detection of flow conditions conducive to secondary pathological processes such as thrombosis – as the coherent structures are thought to perform an important role in avoiding stasis by ‘washing out’ the cardiac cavities.Detection of the coherent structures could be performed using a number of different vorticity criteria, such as: threshold of vorticity magnitude, Q-criterion and k2-criterion
As conical symmetric vortices have not been observed in cardiovascular system, the hypothesis is that each criterion could be efficient for cardiovascular vortex detection
Q-criteria enables the vortex ring created around the mitral jet to be highlighted in almost all subjects, while another vortex ring is visible at the apex of the left ventricle in two subjects
Summary
Detection of the coherent structures could be performed using a number of different vorticity criteria, such as: threshold of vorticity magnitude, Q-criterion and k2-criterion. Prior application and evaluation of these different criteria in the cardiovascular system by 3D þ t phase contrast (PC) flow MRI is limited as most approaches have used k2- or Q-criteria (Elbaz et al 2014) without comparison with other approaches. There is a need to more broadly assess the capacity of these criteria to detect and describe coherent structures. Initial work by Garcia et al (2013), reported the influence of noise and the spatial resolution of helicity. An alternative approach using data clustering has been reported by Wong et al (2010)
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