Vascular centreline extraction for virtual reality interventional training systems Online publication date: Wed, 19-Apr-2023
by Peng Shi; Shuxiang Guo; Xiaoliang Jin
International Journal of Mechatronics and Automation (IJMA), Vol. 9, No. 4, 2022
Abstract: Vascular interventional surgery requires surgeon to be highly skilled at manipulating the surgical tools to avoid damaging blood vessel. Virtual reality (VR) interventional training systems were developed to reduce the training cost and improve training. For virtual interventional radiology, centreline of the vasculature is often used to reconstruct vasculature and detect the contact between surgical tools and blood vessel wall. In this paper, we introduce a centreline extraction method which is suitable for the vasculature mesh. The extraction method assume that the vasculature mesh is a set of continuous cylindrical shapes. The centreline is formed by centre point of the cylindrical shapes, and the centreline is satisfied rotational symmetry. In addition, we propose a pre-processing strategy to convert the mesh representation to point cloud representation. This strategy can merge duplicate vertex and normal vector for vasculature mesh while preserving the integrity of the vasculature. The performance of our method is experimentally validated.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mechatronics and Automation (IJMA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook