Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR

Kroeger, Jan Robert; Pavesio, Francesca Claudia; Mörsdorf, Richard; Weiss, Kilian; Bunck, Alexander C.; Baeßler, Bettina; Maintz, David; Giese, Daniel

doi:10.1016/j.ejrad.2021.109570

Cited by 17 publications

(32 citation statements)

References 63 publications

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“…This scaling facilitates a more direct comparison of the flow rate waveforms, even though measured flow loss is small (5-10%) (Bäumler et al, 2020). Raw 4DMR measurements are also shown as a band encapsulating ±22ml of SV, representing the mean uncertainty for single-VENC 4DMR data (Kroeger et al, 2021). The peak flow rate is slightly over-predicted by the CS, an effect which is more pronounced in the proximal DA, and is under-predicted by the RS.…”

Section: Resultsmentioning

confidence: 99%

“…The presence of intercostal arteries in-vivo may disturb the flow near each bifurcation and affect the velocity distribution throughout the DA in a way that is not simulated. 4DMR imaging errors can be substantial and are also likely to influence the agreement between CFD and 4DMR (Montalba et al, 2018;Ebel et al, 2019;Puiseux et al, 2019;Bock et al, 2019;Demir et al, 2021;Kroeger et al, 2021;Casciaro et al, 2021;Rose et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

“…4 for locations). 4DMR results are shown as a band with a ±22 ml uncertainty in SV, found to be the mean uncertainty for single-VENC 4DMR measurements of flow rate by Kroeger et al (2021). 4DMR results are also shown as discrete measurements, with the SV scaled to match CFD due to the lack of 4DMR mass conservation.…”

Section: List Of Figuresmentioning

confidence: 99%

“…Figure2: Volume flow rate comparison between compliant and rigid CFD and 4D-Flow MRI at four planes in the descending aorta (see Figure4for locations). 4D-Flow MRI results are shown as a band with a 22 ml uncertainty in stroke volume, found to be the mean uncertainty for single-VENC 4D-Flow MRI measurements of flow rate byKroeger et al (2021). 4D-Flow MRI results are also shown as discrete measurements, with the stroke volume scaled to match CFD due to the lack of 4D-Flow MRI mass conservation.…”

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confidence: 99%

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A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics

Stokes

Bonfanti

Li³

et al. 2021

Preprint

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We present a novel, cost-efficient methodology to simulate aortic haemodynamics in a patient-specific, compliant aorta using an MRI data fusion process. Based on a previously-developed Moving Boundary Method, this technique circumvents the high computational cost and numerous structural modelling assumptions required by traditional Fluid-Structure Interaction techniques. Without the need for Computed Tomography (CT) data, the MRI images required to construct the simulation can be obtained during a single imaging session. Black Blood MR Angiography and 2D Cine-MRI data were used to reconstruct the luminal geometry and calibrate wall movement specifically to each region of the aorta. 4D-Flow MRI and non-invasive pressure measurements informed patient-specific inlet and outlet boundary conditions. Simulated wall movement closely matched 2D Cine-MRI measurements throughout the aorta, and physiological pressure and flow distributions in CFD were achieved within 3.3% of patient-specific targets. Excellent agreement with 4D-Flow MRI velocity data was observed. Conversely, a rigid-wall simulation under-predicted peak flow rate and systolic maximum velocities whilst predicting a mean Time-Averaged Wall Shear Stress (TAWSS) 13% higher than the compliant simulation. The excellent agreement observed between compliant simulation results and MRI is testament to the accuracy and efficiency of this MRI-based technique.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: List Of Figuresmentioning

confidence: 99%

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confidence: 99%

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A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics

Stokes

Bonfanti

Li³

et al. 2021

Preprint

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“…Clinical studies have demonstrated the diagnostic and prognostic benefit of 4D flow cMRI in patients with cardiac and vascular diseases, including aortopathies, diseases of the cardiac valves, and congenital heart diseases [1][2][3]. Since the introduction of 4D flow cMRI in the early 2000s, significant efforts have been directed at sequence optimization, such as acceleration techniques, dual velocity encoding (VENC), and pre-and post-processing of image data [4][5][6][7]. Yet, there remains a need for continued advancements to enable broader clinical use of 4D flow cMRI and demonstrate its clinical benefit.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Prospective and Retrospective Gated 4D Flow Cardiac MR Image Acquisitions in the Carotid Bifurcation

Hurd¹,

Han²,

Mendes³

et al. 2021

Preprint

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The superior temporal coverage of retrospective versus prospective gating in 4D flow cardiac MRI (cMRI) imaging offers advantages in comprehensively evaluating the hemodynamic environment across the complete cardiac cycle; however, retrospective acquisitions may result in temporal smoothing. Thus, the purpose of this study was to evaluate the agreement of 4D flow cMRI-derived bulk flow features and fluid (blood) velocities in the carotid bifurcation using prospective and retrospective gating techniques. Prospective and retrospective ECG-gated three-dimensional (3D) cine phase-contrast cardiac MRI with three-direction velocity encoding (i.e., 4D flow cMRI) data were acquired in ten carotid bifurcations from men (n = 3) and women (n = 2) that were cardiovascular disease-free. Velocity magnitude data were extracted from the fluid domain within the image volumes and evaluated across the entire volume or at defined anatomic planes (common, internal, external carotid arteries). Vector magnitudes were decomposed into components to quantify flow direction and disturbances, including retrograde flow. Flow streamlines encoded for velocity magnitude and velocity profiles were generated. Qualitative and quantitative agreement was observed in bulk flow features and fluid velocity magnitudes derived from either prospective or retrospective ECG-gated 4D flow cMRI. No significant differences in velocity magnitudes or components (υr, υθ, υz) were observed. Importantly, retrospective acquisitions captured increased retrograde flow in the internal carotid artery (i.e., carotid sinus) compared to prospective acquisitions. Prospective and retrospective ECG-gated 4D flow cMRI acquisitions provide comparable evaluations of the hemodynamic environment in the carotid bifurcation. However, the increased temporal coverage of retrospective acquisitions depicts disturbed blood flow patterns not captured by the prospective gating technique.

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Particle Tracing Based on 4D Flow Magnetic Resonance Imaging: A Systematic Review into Methods, Applications, and Current Developments

Roos

Rijnberg

Westenberg

et al. 2022

Magnetic Resonance Imaging

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Background: Particle tracing based on 4D Flow MRI has been applied as a quantitative and qualitative postprocessing technique to study temporally evolving blood flow patterns. Purpose: To systematically review the various methods to perform 4D Flow MRI-based particle tracing, as well as the clinical value, clinical applications, and current developments of the technique. Study type: The study type is systematic review. Subjects: Patients with cardiovascular disease (such as Marfan, Fontan, Tetralogy of Fallot), healthy controls, and cardiovascular phantoms that received 4D Flow MRI with particle tracing. Field Strength/Sequence: Three-dimensional three-directional cine phase-contrast MRI, at 1.5 T and 3 T. Assessment: Two systematic searches were performed on the PubMed database using Boolean operators and the relevant key terms covering 4D Flow MRI and particle tracing. One systematic search was focused on particle tracing methods, whereas the other on applications. Additional articles from other sources were sought out and included after a similar inspection. Particle tracing methods, clinical applications, clinical value, and current developments were extracted. Statistical Tests: The main results of the included studies are summarized, without additional statistical analysis. Results: Of 127 unique articles retrieved from the initial search, 56 were included (28 for methods and 54 for applications). Most articles that described particle tracing methods used an adaptive timestep, a fourth order Runge-Kutta integration method, and linear interpolation in the time dimension. Particle tracing was applied in heart chambers, aorta, venae cavae, Fontan circulation, pulmonary arteries, abdominal vasculature, peripheral arteries, carotid arteries, and cerebral vasculature. Applications were grouped as intravascular, intracardiac, flow stasis, and research. Data Conclusions: Particle tracing based on 4D Flow MRI gives unique insight into blood flow in several cardiovascular diseases, but the quality depends heavily on the MRI data quality. Further studies are required to evaluate the clinical value of the technique for different cardiovascular diseases. Evidence Level: 5. Technical Efficacy: Stage 1.

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Velocity quantification in 44 healthy volunteers using accelerated multi-VENC 4D flow CMR

Cited by 17 publications

References 63 publications

A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics

A novel MRI-based data fusion methodology for efficient, personalised, compliant simulations of aortic haemodynamics

Comparison of Prospective and Retrospective Gated 4D Flow Cardiac MR Image Acquisitions in the Carotid Bifurcation

Particle Tracing Based on 4D Flow Magnetic Resonance Imaging: A Systematic Review into Methods, Applications, and Current Developments

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