Fourier Spectral Dynamic Data Assimilation: Interlacing CFD with 4D Flow MRI
METADATA ONLY
Loading...
Author / Producer
Date
2019
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
Altmetric
METADATA ONLY
Data
Rights / License
Abstract
Most data assimilation studies, incorporating observations into computational blood flow simulations, have approached the problem exploiting the traditional mathematical formulation in the time domain, an approach that incurs huge computational cost. In this work, a new method is introduced to perform variational adjoint-based dynamic data assimilation. The work aims to combine the superiority of computational fluid dynamics with the advantages of phase-contrast magnetic resonance imaging and simultaneously taking into account the dynamic nature of the heart beat. In contrast to the traditional time-stepping schemes, the novel approach relies on the harmonically balanced momentum equations expressed in the frequency domain, while the combination of the corresponding solutions yields the periodic solution of the original problem. This work enables accurate characterization of the dynamic flow field in quite feasible and practicable wall clock times, which are otherwise difficult to be achieved using currently available dynamic data assimilation strategies. © 2019, Springer Nature Switzerland AG.
Permanent link
Publication status
published
External links
Book title
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019
Journal / series
Volume
11765
Pages / Article No.
741 - 749
Publisher
Springer
Event
10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019) held in conjunction with 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2019)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
Notes
Funding
Related publications and datasets
Is new version of: