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Patient-Specific Coronary Artery 3D Printing Based on Intravascular Optical Coherence Tomography and Coronary Angiography

Authors :
Chenxi Huang
Yisha Lan
Sirui Chen
Qing Liu
Xin Luo
Gaowei Xu
Wen Zhou
Fan Lin
Yonghong Peng
Eddie Y. K. Ng
Yongqiang Cheng
Nianyin Zeng
Guokai Zhang
Wenliang Che
Source :
Complexity, Vol 2019 (2019)
Publication Year :
2019
Publisher :
Wiley, 2019.

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.

Details

Language :
English
ISSN :
10762787 and 10990526
Volume :
2019
Database :
Directory of Open Access Journals
Journal :
Complexity
Publication Type :
Academic Journal
Accession number :
edsdoj.b4e98014e90b4b8c9a05301cd21cbb7a
Document Type :
article
Full Text :
https://doi.org/10.1155/2019/5712594