Inflow Hemodynamics of Intracranial Aneurysms: A Comparison of Computational Fluid Dynamics and 4D Flow Magnetic Resonance Imaging

Misaki, Kouichi; Futami, Kazuya; Uno, Takehiro; Nambu, Iku; Yoshikawa, Akifumi; Kamide, Tomoya; Nakada, Mitsutoshi

doi:10.1016/j.jstrokecerebrovasdis.2021.105685

Cited by 12 publications

(8 citation statements)

References 20 publications

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“…Due to the inherent differences between CFD modelling and 4D Flow-MRI, discrepancies in blood velocity are unavoidable ( Misaki et al, 2021 ; Cherry et al, 2022 ; Shahid et al, 2022 ). There are several reasons for this.…”

Section: Discussionmentioning

confidence: 99%

“…Further, the CFD spatiotemporal resolution is very high compared to the relatively coarse spatial and temporal resolution of 4D Flow-MRI, which is known to result in blood velocity differences, primarily in regions of elevated flow ( Misaki et al, 2021 ; Shahid et al, 2022 ). Further, the 4D scan sequence utilized to obtain the retrospective data employed a spatial resolution of 3.6 mm × 2.4 mm × 2.6 mm which is coarser than the minimum resolution suggested in literature (1.5 mm × 1.5 mm × 1.5 mm), resulting in increased data interpolation to calculate in vivo blood velocity ( Misaki et al, 2021 ). Additionally, the scan sequence employed an anisotropic spatial resolution, indicating that the final in vivo results are directionally dependent unlike the CFD models ( Misaki et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

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Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI

Black

Maclean

Barrientos

et al. 2023

Front. Bioeng. Biotechnol.

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Introduction: Patient-specific computational fluid dynamics (CFD) models permit analysis of complex intra-aortic hemodynamics in patients with aortic dissection (AD), where vessel morphology and disease severity are highly individualized. The simulated blood flow regime within these models is sensitive to the prescribed boundary conditions (BCs), so accurate BC selection is fundamental to achieve clinically relevant results.Methods: This study presents a novel reduced-order computational framework for the iterative flow-based calibration of 3-Element Windkessel Model (3EWM) parameters to generate patient-specific BCs. These parameters were calibrated using time-resolved flow information derived from retrospective four-dimensional flow magnetic resonance imaging (4D Flow-MRI). For a healthy and dissected case, blood flow was then investigated numerically in a fully coupled zero dimensional-three dimensional (0D-3D) numerical framework, where the vessel geometries were reconstructed from medical images. Calibration of the 3EWM parameters was automated and required ~3.5 min per branch.Results: With prescription of the calibrated BCs, the computed near-wall hemodynamics (time-averaged wall shear stress, oscillatory shear index) and perfusion distribution were consistent with clinical measurements and previous literature, yielding physiologically relevant results. BC calibration was particularly important in the AD case, where the complex flow regime was captured only after BC calibration.Discussion: This calibration methodology can therefore be applied in clinical cases where branch flow rates are known, for example, via 4D Flow-MRI or ultrasound, to generate patient-specific BCs for CFD models. It is then possible to elucidate, on a case-by-case basis, the highly individualized hemodynamics which occur due to geometric variations in aortic pathology high spatiotemporal resolution through CFD.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI

Black

Maclean

Barrientos

et al. 2023

Front. Bioeng. Biotechnol.

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“…After endovascular treatment, DCE-MRA through differential subsampling with Cartesian ordering-MRA has higher accuracy and time-efficiency in detection of cerebral aneurisms with ultrafast process and highspatial-resolution. It shows dramatic changes in inflow hemodynamic, inflow jet patterns, and vortex; the highest velocity differences are present at tissues close to the wall and vessel bifurcation along with change in parent vessel pulsatility (44,75,86,87). Figure 3B shows neuroimaging of an aneurysm of the basilar artery in several sequences of MRI relative to that in CT.…”

Section: Diagnosis Of Cerebral Aneurysmmentioning

confidence: 99%

Advances in differential diagnosis of cerebrovascular diseases in magnetic resonance imaging: a narrative review

Li¹,

Su²,

Yuan³

et al. 2023

Quant Imaging Med Surg

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Background and Objective: Cerebrovascular diseases (CVDs), particularly cerebral stroke, remain a primary cause of disability and death worldwide. Accurate diagnosis of CVDs is essential to guide therapeutic decisions and foresee the prognosis. Different CVDs have different pathological processes while they have many signs in common with some other brain diseases. Thus, differential diagnoses of strokes from other primary and secondary CVDs are especially important and challenging.Methods: This review is composed mainly based on searching PubMed articles

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“…In vivo (human and animal) validation methods for 4D flow MRI include human CFD, [3][4][5][12][13][14][15][16][17][18][19] animal CFD, 20 human US, [21][22][23] human transcranial Doppler sonography (TCD), transcranial color-coded duplex sonography (TCCD), 24 human intra-arterial Doppler sonography wire, 25 invasive flow probe used to measure aortic blood flow in swine, 26 conventional 2D cine PC MRI (many papers), existing 4D flow MRI with confirmed accuracy (many papers), Quality Control for 4D Flow MRI and the conservation of mass' principle. [27][28][29] The conservation of mass' principle is a method of measuring the flow rate upstream and downstream of a continuous vessel and checking the rate of agreement.…”

Section: D Flow Mri Accuracy Verification On How To Verify the Measur...mentioning

confidence: 99%

Quality Control for 4D Flow MR Imaging

Isoda

Fukuyama

2022

MRMS

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In recent years, 4D flow MRI has become increasingly important in clinical applications for the blood vessels in the whole body, heart, and cerebrospinal fluid. 4D flow MRI has advantages over 2D cine phasecontrast (PC) MRI in that any targeted area of interest can be analyzed post-hoc, but there are some factors to be considered, such as ensuring measurement accuracy, a long imaging time and post-processing complexity, and interobserver variability.Due to the partial volume phenomenon caused by low spatial and temporal resolutions, the accuracy of flow measurement in 4D flow MRI is reduced. For spatial resolution, it is recommended to include at least four voxels in the vessel of interest, and if possible, six voxels. In large vessels such as the aorta, large voxels can be secured and SNR can be maintained, but in small cerebral vessels, SNR is reduced, resulting in reduced accuracy. A temporal resolution of less than 40 ms is recommended. The velocity-to-noise ratio (VNR) of low-velocity blood flow is low, resulting in poor measurement accuracy. The use of dual velocity encoding (VENC) or multi-VENC is recommended to avoid velocity wrap around and to increase VNR. In order to maintain sufficient spatio-temporal resolution, a longer imaging time is required, leading to potential patient movement during examination and a corresponding decrease in measurement accuracy.For the clinical application of new technologies, including various acceleration techniques, in vitro and in vivo accuracy verification based on existing accuracy-validated 2D cine PC MRI and 4D flow MRI, as well as accuracy verification on the conservation of mass' principle, should be performed, and intraobserver repeatability, interobserver reproducibility, and test-retest reproducibility should be checked.

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Inflow Hemodynamics of Intracranial Aneurysms: A Comparison of Computational Fluid Dynamics and 4D Flow Magnetic Resonance Imaging

Cited by 12 publications

References 20 publications

Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI

Calibration of patient-specific boundary conditions for coupled CFD models of the aorta derived from 4D Flow-MRI

Advances in differential diagnosis of cerebrovascular diseases in magnetic resonance imaging: a narrative review

Quality Control for 4D Flow MR Imaging

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