Title: A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection
Authors : Koltukluoglu, Taha Sabri
Hirsch, Sven
Binter, Christian
Kozerke, Sebastian
Szekely, Gabor
Laadhari, Aymen
Proceedings: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)
Pages : 1393
Pages to: 1397
Conference details: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, USA, 16-19 April 2015
Publisher / Ed. Institution : IEEE
Issue Date: 2015
License (according to publishing contract) : Not specified
Type of review: Peer review (publication)
Language : English
Subject (DDC) : 616: Internal medicine and diseases
Abstract: Recent achievements in 4D flow MRI increased the interest of CFD-MRI studies, which require comparison of velocity fields from both approaches for validation purposes. A novel flow regularization approach is proposed to provide a ground truth and to perform robust, mathematically reasonable comparisons between CFD and MRI. Our suggested method projects the measured and denoised data into the same space as the computational domain and applies the Helmholtz-Hodge theorem to recover the divergence-free property of the flow field by decomposing the velocity field into its divergence-free, curl-free and harmonic components. Furthermore, an aortic phantom study has been set-up under fully controlled laminar flow conditions with helical flow patterns to validate the proposed method using phase-contrast MRI measurements, whereas a dynamic stenosed case was used under turbulent flow conditions to analyse the robustness of applied pre-processings including the denoising of MRI data and the decomposition of velocity vector field.
Departement: Life Sciences and Facility Management
Organisational Unit: Institute of Applied Simulation (IAS)
Publication type: Conference paper
DOI : 10.1109/ISBI.2015.7164136
10.3929/ethz-a-010542673
ISBN: 978-1-4799-2374-8
ISSN: 1945-7928
1945-8452
URI: https://digitalcollection.zhaw.ch/handle/11475/13624
Appears in Collections:Publikationen Life Sciences und Facility Management

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