|Title:||A robust comparison approach of velocity data between MRI and CFD based on divergence-free space projection|
|Authors :||Koltukluoglu, Taha Sabri|
|Proceedings:||2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)|
|Conference details:||2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), New York, USA, 16-19 April 2015|
|Publisher / Ed. Institution :||IEEE|
|License (according to publishing contract) :||Not specified|
|Type of review:||Peer review (Publication)|
|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|
|Appears in Collections:||Publikationen Life Sciences und Facility Management|
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