Phase‐contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: Comparison with computational fluid dynamics

Boussel, Loîc; Rayz, Vitaliy L.; Martin, Alastair J.; Acevedo-Bolton, Gabriel; Lawton, Michael T.; Higashida, Randall T.; Smith, Wade S.; Young, William L.; Saloner, David

doi:10.1002/mrm.21861

Cited by 202 publications

(192 citation statements)

References 28 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: 98%

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: 98%

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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“…Phase contrast MRI (PC-MRI) suffers from data inconsistency, partial-volume effects (Tang et al, 1993), intravoxel phase dispersion and inadequate SNR at high spatial resolutions (Figure 8). PC-MRI is not currently capable of providing accurate absolute measurements of WSS (Boussel et al, 2009), and has been shown to underestimate blood flow velocities in the carotid bifurcation by 31-39% . As shown in section 3, spiral FVE produces accurate velocity histograms compared with those acquired with Doppler ultrasound.…”

Section: Wall Shear Rate Estimation Using Spiral Fvementioning

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 velocity vector field, as an independent flow variable from which all the other hemodynamic variables like wall shear stress can be calculated, may also be predicted using image-based patient-specific computational fluid dynamic (CFD) simulations (3)(4)(5)(6)(7)(8)(9)(10).…”

Section: Introductionmentioning

confidence: 99%

“…A number of studies in this area used PC MRI to analyze hemodynamics in intracranial arteries and aneurysms (3,4,6,8,(11)(12)(13)(14)(15) and aorta (16,17 …”

Section: Introductionmentioning

confidence: 99%

Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics

et al. 2015

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Background: Understanding hemodynamic environment in vessels is important for realizing the mechanisms leading to vascular pathologies. Objectives: Three-dimensional velocity vector field in carotid bifurcation is visualized using TR 3D phase-contrast magnetic resonance imaging (TR 3D PC MRI) and computational fluid dynamics (CFD). This study aimed to present a qualitative and quantitative comparison of the velocity vector field obtained by each technique. Subjects and Methods: MR imaging was performed on a 30-year old male normal subject. TR 3D PC MRI was performed on a 3 T scanner to measure velocity in carotid bifurcation. 3D anatomical model for CFD was created using images obtained from time-of-flight MR angiography. Velocity vector field in carotid bifurcation was predicted using CFD and PC MRI techniques. A statistical analysis was performed to assess the agreement between the two methods. Results: Although the main flow patterns were the same for the both techniques, CFD showed a greater resolution in mapping the secondary and circulating flows. Overall root mean square (RMS) errors for all the corresponding data points in PC MRI and CFD were 14.27% in peak systole and 12.91% in end diastole relative to maximum velocity measured at each cardiac phase. Bland-Altman plots showed a very good agreement between the two techniques. However, this study was not aimed to validate any of methods, instead, the consistency was assessed to accentuate the similarities and differences between Time-resolved PC MRI and CFD. Conclusion: Both techniques provided quantitatively consistent results of in vivo velocity vector fields in right internal carotid artery (RCA). PC MRI represented a good estimation of main flow patterns inside the vasculature, which seems to be acceptable for clinical use. However, limitations of each technique should be considered while interpreting results.

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Phase‐contrast magnetic resonance imaging measurements in intracranial aneurysms in vivo of flow patterns, velocity fields, and wall shear stress: Comparison with computational fluid dynamics

Cited by 202 publications

References 28 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

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

Velocity Measurement in Carotid Artery: Quantitative Comparison of Time-Resolved 3D Phase-Contrast MRI and Image-based Computational Fluid Dynamics

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