Controlling the error on target motion through real-time mesh adaptation: Applications to deep brain stimulation

International Journal for Numerical Methods in Biomedical Engineering
Huu Phuoc BuiStéphane P A Bordas

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 p...Continue Reading

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Citations

Mar 11, 2020·Biomechanics and Modeling in Mechanobiology·Michele TerzanoMatthew Oldfield
Apr 8, 2020·Robotic Surgery : Research and Reviews·Michel A AudetteJason E Blatt

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