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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