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Controlled compliancy of 3D printed vascular patient specific phantoms
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Paper Abstract

Purpose: 3D printed (3DP) patient specific vascular phantoms provide the ability to improve device testing and to aid in the course of treatment of vascular disease, while reducing the need for in-vivo experiments. In addition to accurate vascular geometric reproducibility, such phantoms could allow simulation of certain vascular mechanical properties. We investigated various 3DP designs to allow simulation of physiological transmural pressure on phantom vasculature. Materials and Methods: A transparent compliance chamber was created using an Eden260V printer (Stratasys) with VeroClear and acrylic to accommodate 3DP patient specific vascular phantoms. The patient vascular geometries were acquired from a CT angiogram (Aquilion ONE, Canon Medical) and segmented using Vitrea workstation (Vital Images). The segmented geometry was manipulated in Autodesk Meshmixer and 3D printed using Agilus. The phantom was integrated in the compliance chamber and connected to a pump which simulated physiologic pulsatile flow waveforms. Compliance of the vessels was varied by filling the chamber with various levels of liquid and air. This setup allowed controlled expansion of the 3DP arteries, as a function of the liquid level while a programmable pump simulated the blood flow through the vascular network. The pressure within the vessels was measured for various compliancy settings while physiological flow rates were simulated through the arteries. Results: A neurovascular phantom was placed in the chamber and amount of artery expansion diameter was controlled by changing the liquid level in the compliance chamber. Artery patency and contrast flow were demonstrated using x-ray angiography. The pressures in the left and the right internal carotid artery increased from 98mmHg to 104mmHg and from 96mmHg to 102mmHg, respectively, while maintaining the same flow rates. Conclusions: 3D printed patient specific neurovascular phantoms can be manipulated through using of a compliance chamber in order to establish physiologically relevant hemodynamic conditions.

Paper Details

Date Published: 15 March 2019
PDF: 9 pages
Proc. SPIE 10954, Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications, 109540C (15 March 2019); doi: 10.1117/12.2512528
Show Author Affiliations
Ariana B. Allman, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Lauren M. Shepard, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Alexander R. Podgorsak, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Ryan A. Rava, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
Ciprian N. Ionita, Univ. at Buffalo (United States)
Canon Stroke and Vascular Research Ctr. (United States)
University at Buffalo Jacobs School of Medicine (United States)


Published in SPIE Proceedings Vol. 10954:
Medical Imaging 2019: Imaging Informatics for Healthcare, Research, and Applications
Po-Hao Chen; Peter R. Bak, Editor(s)

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