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Abstract #0453

3D quantification of Vorticity and Helicity from 4D flow data using finite element interpolations

Julio Sotelo 1,2 , Jesus Urbina 1,3 , Israel Valverde 4,5 , Cristian Tejos 1 , Pablo Irarrazaval 1 , Daniel E. Hurtado 2,6 , and Sergio Uribe 1,3

1 Biomedical Imaging Center, Electrical Engineering Department, Pontificia Universidad Catolica de Chile, Santiago, RM, Chile, 2 Structural and Geotechnical Engineering Departement, Pontificia Universidad Catolica de Chile, Santiago, RM, Chile, 3 Radiology Department, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile, 4 Pediatric Cardiology Unit, Hospital Virgen del Rocio, Seville, Spain, 5 Cardiovascular Pathology Unit, Institute of Biomedicine of Seville (IBIS), Hospital Virgen del Rocio, Seville, Spain, 6 Biomedical Engineering Group, Pontificia Universidad Catolica de Chile, Santiago, Chile

Several methods have been proposed to analyze hemodynamic parameters from 4D flow data, including vorticity and helicity. However the analysis is usually qualitative and performed in reformatted 2D planes. In this work we propose a novel method that integrates advanced image processing strategies and computational techniques based on finite element interpolations to obtain a 3D quantitative map of vorticity, helicity density and relativity helicity density derived from 4D flow data sets obtained from volunteers and patients.

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