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Title: Patient-specific coronary artery 3D printing based on intravascular optical coherence tomography and coronary angiography
Authors: Huang, Chenxi
Lan, Yisha
Chen, Sirui
Liu, Qing
Luo, Xin
Xu, Gaowei
Zhou, Wen
Lin, Fan
Peng, Yonghong
Ng, Eddie Yin Kwee
Cheng, Yongqiang
Zeng, Nianyin
Zhang, Guokai
Che, Wenliang
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Huang, C., Lan, Y., Chen, S., Liu, Q., Luo, X., Xu, G., . . . Che, W. (2019). Patient-specific coronary artery 3D printing based on intravascular optical coherence tomography and coronary angiography. Complexity, 2019, 5712594-. doi:10.1155/2019/5712594
Journal: Complexity
Abstract: Despite the new ideas were inspired in medical treatment by the rapid advancement of three-dimensional (3D) printing technology, there is still rare research work reported on 3D printing of coronary arteries being documented in the literature. In this work, the application value of 3D printing technology in the treatment of cardiovascular diseases has been explored via comparison study between the 3D printed vascular solid model and the computer aided design (CAD) model. In this paper, a new framework is proposed to achieve a 3D printing vascular model with high simulation. The patient-specific 3D reconstruction of the coronary arteries is performed by the detailed morphological information abstracted from the contour of the vessel lumen. In the process of reconstruction which has 5 steps, the morphological details of the contour view of the vessel lumen are merged along with the curvature and length information provided by the coronary angiography. After comparing with the diameter of the narrow section and the diameter of the normal section in CAD models and 3D printing model, it can be concluded that there is a high correlation between the diameter of vascular stenosis measured in 3D printing models and computer aided design models. The 3D printing model has high-modeling ability and high precision, which can represent the original coronary artery appearance accurately. It can be adapted for prevascularization planning to support doctors in determining the surgical procedures.
ISSN: 1076-2787
DOI: 10.1155/2019/5712594
Rights: © 2019 Chenxi Huang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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