Synthesis of patient-specific multipoint 4D flow MRI data of turbulent aortic flow downstream of stenotic valves
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Date
2022-09-26
Publication Type
Journal Article
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yes
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Abstract
We propose to synthesize patient-specific 4D flow MRI datasets of turbulent flow paired with ground truth flow data to support training of inference methods. Turbulent blood flow is computed based on the Navier-Stokes equations with moving domains using realistic boundary conditions for aortic shapes, wall displacements and inlet velocities obtained from patient data. From the simulated flow, synthetic multipoint 4D flow MRI data is generated with user-defined spatiotemporal resolutions and reconstructed with a Bayesian approach to compute time-varying velocity and turbulence maps. For MRI data synthesis, a fixed hypothetical scan time budget is assumed and accordingly, changes to spatial resolution and time averaging result in corresponding scaling of signal-to-noise ratios (SNR). In this work, we focused on aortic stenotic flow and quantification of turbulent kinetic energy (TKE). Our results show that for spatial resolutions of 1.5 and 2.5 mm and time averaging of 5 ms as encountered in 4D flow MRI in practice, peak total turbulent kinetic energy downstream of a 50, 75 and 90% stenosis is overestimated by as much as 23, 15 and 14% (1.5 mm) and 38, 24 and 23% (2.5 mm), demonstrating the importance of paired ground truth and 4D flow MRI data for assessing accuracy and precision of turbulent flow inference using 4D flow MRI exams.
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published
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Journal / series
Volume
12 (1)
Pages / Article No.
16004
Publisher
Nature
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Date created
Subject
Biomedical engineering; Fluid dynamics
Organisational unit
09548 - Kozerke, Sebastian / Kozerke, Sebastian
Notes
Funding
166485 - Magnetic Resonance Imaging-Guided Computational Mechanics of Growth and Remodeling of the Failing Heart (SNF)