2011
DOI: 10.1007/s10439-011-0431-1
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Abstract: The purpose of this study is to investigate how the imposition of personalized, non-invasively measured blood flow rates as boundary conditions (BCs) influences image-based computational hemodynamic studies in the human aorta. We extracted from 4D phase-contrast MRI acquisitions of a healthy human (1) the geometry of the thoracic aorta with supra-aortic arteries and (2) flow rate waveforms at all boundaries. Flow simulations were carried out, and the implications that the imposition of different BC schemes bas… Show more

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Cited by 136 publications
(105 citation statements)
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“…54 In addition, the flow rate ratio and waveform at each supra-aortic artery would further affect the flow transport in the aorta. 32 …”
Section: Helical Flow In Human Vasculaturementioning
confidence: 97%
“…54 In addition, the flow rate ratio and waveform at each supra-aortic artery would further affect the flow transport in the aorta. 32 …”
Section: Helical Flow In Human Vasculaturementioning
confidence: 97%
“…adopted emphasizes that the PC-MRI flow measurements-derived uncertainty is an important source of uncertainty. This is of utmost importance considering that it is non-linearly related with other uncertainties intrinsic in modeling assumptions such as aortic wall distensibility (Lantz et al 2011;Brown et al 2012), outflow boundary conditions (Gallo et al 2012), blood rheological properties (Liu et al 2011), etc. As a consequence, the global effect cannot be neglected when looking at model reliability.…”
Section: Discussionmentioning
confidence: 99%
“…The MRI data sequence was extensively detailed in several previous studies (Morbiducci et al 2009;Morbiducci et al 2011a;Tresoldi et al 2014;Volonghi et al 2016), and reported in other computational hemodynamics studies (Gallo et al 2012;Morbiducci et al 2013Morbiducci et al , 2015. Briefly, 4D MRI images of an ostensibly healthy human aorta were acquired using a 1.5 T scanner (Achieva, Philips Healthcare, The Netherlands).…”
Section: Pc-mri Datamentioning
confidence: 99%
See 1 more Smart Citation
“…1a was applied. As a first step, from the in vivo 4D dataset (2 9 2 mm 2 , slice thickness equal to 4 mm, slice spacing equal to 2 mm spatial resolution; 38 ms temporal resolution), the geometrical model of the thoracic aorta was built and the flow rate waveforms, applied as conditions at boundaries of the vascular model, were extracted as in ref [8] (Fig. 2).…”
Section: Methodsmentioning
confidence: 99%