Literature DB >> 25467803

A robust and fast approach to simulating the behavior of guidewire in vascular interventional radiology.

Haoyu Wang1, Jianhuang Wu2, Mingqiang Wei3, Xin Ma1.   

Abstract

Interventional radiology (IR) is widely used in the treatment of cardiovascular disease. The manipulation of the guidewire and catheter is an essential skill in IR procedure. Computer-based training simulators can provide solutions to overcome many drawbacks of the traditional apprenticeship training during the procedure. In this paper, a physically-based approach to simulating the behavior of the guidewire is presented. Our approach models the guidewire as thin flexible elastic rods with different resolutions which are dynamically adaptive to the curvature of the vessel. More material characteristics of this deformable material are integrated into our discrete model to realistically simulate the behavior of the wire. A force correction strategy is proposed to adjust the elastic force to avoid endless collision detections. Several experimental tests on our simulator are given to demonstrate the effectiveness of our approach.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Guidewire model; Interventional radiology; Surgical simulation and training; Vasculature

Mesh:

Year:  2014        PMID: 25467803     DOI: 10.1016/j.compmedimag.2014.10.006

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  A time-dependent offset field approach to simulating realistic interactions between beating hearts and surgical devices in virtual interventional radiology.

Authors:  Haoyu Wang; Jianhuang Wu
Journal:  Front Cardiovasc Med       Date:  2022-09-23

2.  A fast and stable vascular deformation scheme for interventional surgery training system.

Authors:  Xiufen Ye; Jianguo Zhang; Peng Li; Tian Wang; Shuxiang Guo
Journal:  Biomed Eng Online       Date:  2016-04-06       Impact factor: 2.819

3.  Colonoscopy procedure simulation: virtual reality training based on a real time computational approach.

Authors:  Tingxi Wen; David Medveczky; Jackie Wu; Jianhuang Wu
Journal:  Biomed Eng Online       Date:  2018-01-25       Impact factor: 2.819

  3 in total

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