Küçükgül, Can and Özler, Saime Burçe and Karakaş, Hacer Ezgi and Gözüaçık, Devrim and Koç, Bahattin (2013) 3D hybrid bioprinting of macrovascular structures. In: 3rd ECCOMAS Thematic Conference on Tissue Engineering (ICTE 2013), Leiria, Portugal
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Official URL: http://dx.doi.org/10.1016/j.proeng.2013.05.109
Abstract
Thousands of people die each year due the cardiovascular health problems. The most common treatments for cardiovascular health diseases are autografts and blood vessel transplantations which has limitations due to lack of donors and the patient's conditions. Although there are several scaffold based studies about vascular tissue engineering, scaffold-based vascular grafts have some side effects including chronic inflammation, thrombosis and rejection after in-vivo implantation. Additionally, there are some problems with cell to cell interaction, the assembly and alignment of ECM components and the host response to scaffolds. Therefore, vascular tissue engineering studies tend towards scaffold-free techniques. In this paper, novel computer aided algorithms and methods are developed for 3D printing of scaffold-free macrovascular structures. An example aorta model is generated using imaging and segmentation software. The developed algorithms are implemented using Rhinoscript. In order to support printed cell aggregates, support structures with 'Cake' and 'Zigzag' patterns are developed and 3D printed.
Item Type: | Papers in Conference Proceedings |
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Uncontrolled Keywords: | scaffold free vascular tissue engineering; computer aided biomodeling; 3D bioprinting; hybrid cell-biomaterial printing |
Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) R Medicine > R Medicine (General) T Technology > T Technology (General) > T174.7 Nanotechnology |
Divisions: | Faculty of Engineering and Natural Sciences > Academic programs > Biological Sciences & Bio Eng. Faculty of Engineering and Natural Sciences |
Depositing User: | Bahattin Koç |
Date Deposited: | 09 Dec 2013 11:53 |
Last Modified: | 26 Apr 2022 09:11 |
URI: | https://research.sabanciuniv.edu/id/eprint/22447 |