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Inverse modelling of image-based patient-specific bloodvessels: zero-pressure geometry and in vivo stressincorporation

Published online by Cambridge University Press:  13 June 2013

Joris Bols
Affiliation:
Department of Flow, Heat and Combustion Mechanics, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium.. [email protected] IBiTech-bioMMeda, De Pintelaan 185, 9000 Ghent, Belgium.
Joris Degroote
Affiliation:
Department of Flow, Heat and Combustion Mechanics, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium.. [email protected]
Bram Trachet
Affiliation:
IBiTech-bioMMeda, De Pintelaan 185, 9000 Ghent, Belgium.
Benedict Verhegghe
Affiliation:
IBiTech-bioMMeda, De Pintelaan 185, 9000 Ghent, Belgium.
Patrick Segers
Affiliation:
IBiTech-bioMMeda, De Pintelaan 185, 9000 Ghent, Belgium.
Jan Vierendeels
Affiliation:
Department of Flow, Heat and Combustion Mechanics, Sint-Pietersnieuwstraat 41, 9000 Ghent, Belgium.. [email protected]
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Abstract

In vivo visualization of cardiovascular structures ispossible using medical images. However, one has to realize that the resulting 3Dgeometries correspond to in vivo conditions. This entails an internalstress state to be present in the in vivo measured geometry ofe.g. a blood vessel due to the presence of the blood pressure. In orderto correct for this in vivo stress, this paper presents an inverse methodto restore the original zero-pressure geometry of a structure, and to recover thein vivo stress field of the final, loaded structure. The proposedbackward displacement method is able to solve the inverse problem iteratively using fixedpoint iterations, but can be significantly accelerated by a quasi-Newton technique inwhich a least-squares model is used to approximate the inverse of the Jacobian. The hereproposed backward displacement method allows for a straightforward implementation of thealgorithm in combination with existing structural solvers, even if the structural solveris a black box, as only an update of the coordinates of the mesh needs to beperformed.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2013

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