Publication type: | Conference paper |
Type of review: | Peer review (publication) |
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 |
DOI: | 10.1109/ISBI.2015.7164136 10.3929/ethz-a-010542673 |
Proceedings: | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) |
Page(s): | 1393 |
Pages to: | 1397 |
Conference details: | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), New York, USA, 16-19 April 2015 |
Issue Date: | 2015 |
Publisher / Ed. Institution: | IEEE |
ISBN: | 978-1-4799-2374-8 |
ISSN: | 1945-7928 1945-8452 |
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. |
URI: | https://digitalcollection.zhaw.ch/handle/11475/13624 |
Fulltext version: | Published version |
License (according to publishing contract): | Not specified |
Departement: | Life Sciences and Facility Management |
Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
Appears in collections: | Publikationen Life Sciences und Facility Management |
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Koltukluoglu, T. S., Hirsch, S., Binter, C., Kozerke, S., Szekely, G., & Laadhari, A. (2015). A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection [Conference paper]. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1393–1397. https://doi.org/10.1109/ISBI.2015.7164136
Koltukluoglu, T.S. et al. (2015) ‘A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection’, in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). IEEE, pp. 1393–1397. Available at: https://doi.org/10.1109/ISBI.2015.7164136.
T. S. Koltukluoglu, S. Hirsch, C. Binter, S. Kozerke, G. Szekely, and A. Laadhari, “A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection,” in 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015, pp. 1393–1397. doi: 10.1109/ISBI.2015.7164136.
KOLTUKLUOGLU, Taha Sabri, Sven HIRSCH, Christian BINTER, Sebastian KOZERKE, Gabor SZEKELY und Aymen LAADHARI, 2015. A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection. In: 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI). Conference paper. IEEE. 2015. S. 1393–1397. ISBN 978-1-4799-2374-8
Koltukluoglu, Taha Sabri, Sven Hirsch, Christian Binter, Sebastian Kozerke, Gabor Szekely, and Aymen Laadhari. 2015. “A Robust Comparison Approach of Velocity Data between MRI and CFD Based on Divergence-Free Space Projection.” Conference paper. In 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 1393–97. IEEE. https://doi.org/10.1109/ISBI.2015.7164136.
Koltukluoglu, Taha Sabri, et al. “A Robust Comparison Approach of Velocity Data between MRI and CFD Based on Divergence-Free Space Projection.” 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), IEEE, 2015, pp. 1393–97, https://doi.org/10.1109/ISBI.2015.7164136.
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