3D MR flow analysis in realistic rapid‐prototyping model systems of the thoracic aorta: Comparison with in vivo data and computational fluid dynamics in identical vessel geometries

Canstein, Christian; Cachot, P.; Faust, Andreas; Stalder, Aurélien F.; Bock, Jelena; Frydrychowicz, Alex; Küffer, J.; Hennig, Jürgen; Markl, Michael

doi:10.1002/mrm.21331

Cited by 114 publications

(80 citation statements)

References 40 publications

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“…Such numerical simulations permit the detailed analysis of local flow patterns and calculation of additional relevant parameters such as pressure differences or wall shear rates. In recent studies, comparisons of invivo and in-vitro MRI data with results from CFD simulations demonstrated comparable agreement for global flow parameters and flow patterns (46,47). However, for assuming accurate in vivo flow patterns, WSS estimation is expected to be more accurate compared the MRI based on the inherently higher spatiotemporal resolution of meshed vascular geometries used for the numerical calculations.…”

Section: Discussionmentioning

confidence: 99%

Three‐dimensional analysis of segmental wall shear stress in the aorta by flow‐sensitive four‐dimensional‐MRI

Frydrychowicz

Stalder

Russe

et al. 2009

Magnetic Resonance Imaging

164

138

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Purpose:To assess the distribution and regional differences of flow and vessel wall parameters such as wall shear stress (WSS) and oscillatory shear index (OSI) in the entire thoracic aorta. Materials and Methods:Thirty-one healthy volunteers (mean age ϭ 23.7 Ϯ 3.3 years) were examined by flow-sensitive four-dimensional (4D)-MRI at 3T. For eight retrospectively positioned 2D analysis planes distributed along the thoracic aorta, flow parameters and vectorial WSS and OSI were assessed in 12 segments along the vascular circumference. Conclusion:The normal distribution of vectorial WSS and OSI in the entire thoracic aorta derived from flow-sensitive 4D-MRI data provides a reference constituting an important perquisite for the examination of patients with aortic disease. Marked regional differences in absolute WSS and OSI may help explaining why atherosclerotic lesions predominantly develop and progress at specific locations in the aorta. COMPLEX VASCULAR GEOMETRY AND PULSATILE FLOW in the human arterial system lead to regionally different flow characteristics and thus spatial and temporal changes in shear forces acting on the vessel wall. These forces can be characterized by wall shear stress (WSS) or oscillatory shear index (OSI) that play an important role in flow-mediated atherogenesis and arterial remodeling (1-3). While WSS values reported in the literature typically reflect the time-averaged shear forces acting on the vessel wall, OSI describes the existence and magnitude of WSS changes over the cardiac cycle. Recent reports stressed the importance of WSS and OSI with respect to the formation and stability of atherosclerotic plaques (4). A number of studies have shown that low WSS and high OSI represent sensitive markers for formation of plaques in the aorta, carotid, or coronary arteries (5,6). Particularly, the assessment of both WSS and OSI can help to determine the complexity of the lesions. A recent study with animal models and deliberately altered flow characteristics in the carotid arteries demonstrated the close correlation of low WSS with the development of vulnerable high-risk plaques whereas high OSI induce stable lesions (4). In addition, the effects of selected pathologies on regionally-varying WSS and OSI values have been reported (7,8).Among other methods, MRI is a feasible and extensively validated technique to derive quantitative flow information from arterial vessels (9 -12). Due to its intrinsic sensitivity to flow and the possibility to acquire true time-resolved three-dimensional (3D) data, in vivo analyses of blood-flow and derived vessel wall parameters are promising. However, earlier reports on MRbased analysis of aortic hemodynamics were either based on incomplete vascular coverage and separately acquired 2D slices (13-17), a combination of MR mea-

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Section: Discussionmentioning

confidence: 99%

Three‐dimensional analysis of segmental wall shear stress in the aorta by flow‐sensitive four‐dimensional‐MRI

Frydrychowicz

Stalder

Russe

et al. 2009

Magnetic Resonance Imaging

164

138

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“…Compliant models can be manufactured using materials such as silicon or polyurethane to mimic the elastic properties of vessels [26,46]. Physiological and pathophysiological processes as well as post-operative hemodynamics can be assessed with patient-based phantoms simulating in vivo conditions and compared to computational fluid dynamics [42,47]. This may give new insights into hemodynamic or aerodynamic aspects of cardiovascular or airway diseases [48].…”

Section: Medical Researchmentioning

confidence: 99%

“…Research with phantoms produced by rapid prototyping can help to elucidate physiological processes that are not yet fully understood (Fig. 3) [42,43] along with a better understanding of complex pathologies [27,42,44]. The latter are characterized by either a complex morphology or functional consequences.…”

Section: Medical Researchmentioning

confidence: 99%

3D printing based on imaging data: review of medical applications

et al. 2010

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“…Long et al (2003) were concerned with the reproducibility of geometry reconstruction, one of the most crucial steps in the modeling process. Canstein et al (2008) used rapid prototyping to transform aortic geometries as measured by contrast-enhanced MR angiography into realistic vascular models with large anatomical coverage. Visualization of characteristic 3D flow patterns and quantitative comparisons of the in vitro experiments with in vivo data and CFD simulations in identical vascular geometries were performed to evaluate the accuracy of vascular model systems.…”

Section: Cfd In Biomedical Engineeringmentioning

confidence: 99%

Assessment of Carotid Flow Using Magnetic Resonance Imaging and Computational Fluid Dynamics

Rispoli¹,

Carvalho²,

Nielsen³

et al. 2012

Fluid Dynamics, Computational Modeling and Applications

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3D MR flow analysis in realistic rapid‐prototyping model systems of the thoracic aorta: Comparison with in vivo data and computational fluid dynamics in identical vessel geometries

Cited by 114 publications

References 40 publications

Three‐dimensional analysis of segmental wall shear stress in the aorta by flow‐sensitive four‐dimensional‐MRI

Three‐dimensional analysis of segmental wall shear stress in the aorta by flow‐sensitive four‐dimensional‐MRI

3D printing based on imaging data: review of medical applications

Assessment of Carotid Flow Using Magnetic Resonance Imaging and Computational Fluid Dynamics

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