Literature DB >> 15792932

Simulation of minimally invasive vascular interventions for training purposes.

Tanja Alderliesten1, Maurits K Konings, Wiro J Niessen.   

Abstract

OBJECTIVE: To master the skills required to perform minimally invasive vascular interventions, proper training is essential. A computer simulation environment has been developed to provide such training. The simulation is based on an algorithm specifically developed to simulate the motion of a guide wire--the main instrument used during these interventions--in the human vasculature. In this paper, the design and model of the computer simulation environment is described and first results obtained with phantom and patient data are presented.
MATERIALS AND METHODS: To simulate minimally invasive vascular interventions, a discrete representation of a guide wire is used which allows modeling of guide wires with different physical properties. An algorithm for simulating the propagation of a guide wire within a vascular system, on the basis of the principle of minimization of energy, has been developed. Both longitudinal translation and rotation are incorporated as possibilities for manipulating the guide wire. The simulation is based on quasi-static mechanics. Two types of energy are introduced: internal energy related to the bending of the guide wire, and external energy resulting from the elastic deformation of the vessel wall.
RESULTS: A series of experiments were performed on phantom and patient data. Simulation results are qualitatively compared with 3D rotational angiography data.
CONCLUSIONS: The results indicate plausible behavior of the simulation.

Entities:  

Mesh:

Year:  2004        PMID: 15792932     DOI: 10.3109/10929080400006408

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  7 in total

1.  An improved real-time endovascular guidewire position simulation using shortest path algorithm.

Authors:  Jianpeng Qiu; Zhiyi Qu; Haiquan Qiu; Xiaomin Zhang
Journal:  Med Biol Eng Comput       Date:  2015-10-15       Impact factor: 2.602

2.  Real-time endovascular guidewire position simulation using shortest path algorithms.

Authors:  Sebastian Schafer; Vikas Singh; Peter B Noël; Alan M Walczak; Jinhui Xu; Kenneth R Hoffmann
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-07-18       Impact factor: 2.924

3.  Evaluation of guidewire path reproducibility.

Authors:  Sebastian Schafer; Kenneth R Hoffmann; Peter B Noël; Ciprian N Ionita; Jacek Dmochowski
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

4.  Endovascular image-guided interventions (EIGIs).

Authors:  Stephen Rudin; Daniel R Bednarek; Kenneth R Hoffmann
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

5.  The Architecture of an Automatic eHealth Platform With Mobile Client for Cerebrovascular Disease Detection.

Authors:  Xingce Wang; Rongfang Bie; Yunchuan Sun; Zhongke Wu; Mingquan Zhou; Rongfei Cao; Lizhi Xie; Dong Zhang
Journal:  JMIR Mhealth Uhealth       Date:  2013-08-09       Impact factor: 4.773

6.  VCSim3: a VR simulator for cardiovascular interventions.

Authors:  Przemyslaw Korzeniowski; Ruth J White; Fernando Bello
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-10-27       Impact factor: 2.924

Review 7.  Navigation of guidewires and catheters in the body during intervention procedures: a review of computer-based models.

Authors:  Hoda Sharei; Tanja Alderliesten; John J van den Dobbelsteen; Jenny Dankelman
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-29
  7 in total

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