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Patient-Specific Aortic Phantom With Tunable Compliance

Authors :
Elena De Momi
Helge A. Wurdemann
Andrea Palombi
Gaetano Burriesci
Gabriele Maritati
Antonio Gallarello
Giacomo Annio
Shervanthi Homer-Vanniasinkam
Ryo Torii
Source :
Journal of Engineering and Science in Medical Diagnostics and Therapy. 2
Publication Year :
2019
Publisher :
ASME International, 2019.

Abstract

Validation of computational models using in vitro phantoms is a nontrivial task, especially in the replication of the mechanical properties of the vessel walls, which varies with age and pathophysiological state. In this paper, we present a novel aortic phantom reconstructed from patient-specific data with variable wall compliance that can be tuned without recreating the phantom. The three-dimensional (3D) geometry of an aortic arch was retrieved from a computed tomography angiography scan. A rubber-like silicone phantom was manufactured and connected to a compliance chamber in order to tune its compliance. A lumped resistance was also coupled with the system. The compliance of the aortic arch model was validated using the Young's modulus and characterized further with respect to clinically relevant indicators. The silicone model demonstrates that compliance can be finely tuned with this system under pulsatile flow conditions. The phantom replicated values of compliance in the physiological range. Both, the pressure curves and the asymmetrical behavior of the expansion, are in agreement with the literature. This novel design approach allows obtaining for the first time a phantom with tunable compliance. Vascular phantoms designed and developed with the methodology proposed in this paper have high potential to be used in diverse conditions. Applications include training of physicians, pre-operative trials for complex interventions, testing of medical devices for cardiovascular diseases (CVDs), and comparative Magnetic-resonance-imaging (MRI)-based computational studies.

Details

ISSN :
25727966 and 25727958
Volume :
2
Database :
OpenAIRE
Journal :
Journal of Engineering and Science in Medical Diagnostics and Therapy
Accession number :
edsair.doi.dedup.....4e595b9410598d15dae7cabe439f08f7
Full Text :
https://doi.org/10.1115/1.4044611