Controlling the error on target motion through real‐time mesh adaptation: Applications to deep brain stimulation. (28th February 2018)

• Record Type: Journal Article
• Authors: Bui, Huu Phuoc; Tomar, Satyendra; Courtecuisse, Hadrien; Audette, Michel; Cotin, Stéphane; Bordas, Stéphane P.A.
• Is Part Of: International journal for numerical methods in biomedical engineering. Volume 34:Number 5(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-02-28
• Subjects: adaptive refinement -- a posteriori error estimate -- brain shift -- deep brain stimulation -- finite element method -- real‐time simulation; Biomedical engineering -- Periodicals; Imaging systems in medicine -- Periodicals; Numerical analysis -- Periodicals; Engineering mathematics -- Periodicals; 610.28
• DOI: 10.1002/cnm.2958
• Languages: English
• ISSNs: 2040-7939

Abstract

Abstract: An error‐controlled mesh refinement procedure for needle insertion simulations is presented. As an example, the procedure is applied for simulations of electrode implantation for deep brain stimulation. We take into account the brain shift phenomena occurring when a craniotomy is performed. We observe that the error in the computation of the displacement and stress fields is localised around the needle tip and the needle shaft during needle insertion simulation. By suitably and adaptively refining the mesh in this region, our approach enables to control, and thus to reduce, the error whilst maintaining a coarser mesh in other parts of the domain. Through academic and practical examples we demonstrate that our adaptive approach, as compared with a uniform coarse mesh, increases the accuracy of the displacement and stress fields around the needle shaft and, while for a given accuracy, saves computational time with respect to a uniform finer mesh. This facilitates real‐time simulations. The proposed methodology has direct implications in increasing the accuracy, and controlling the computational expense of the simulation of percutaneous procedures such as biopsy, brachytherapy, regional anaesthesia, or cryotherapy. Moreover, the proposed approach can be helpful in the development of robotic surgeries because the simulation taking place in the control loop of a robot needs to be accurate, and to occur in real time. Abstract : An error‐controlled mesh refinement procedure for needle insertion simulations is presented. We demonstrate that, through simulations of electrode implantation for deep brain stimulation, the proposed methodology has a great potential in terms of simulation accuracy while saving computational efforts and thus facilitates real‐time simulations. Moreover, the proposed approach can be helpful in the development of robotic surgeries because the simulation taking place in the control loop of a robot needs to be accurate, and to occur in real time.