Development of a finite element based haptic interactive surgery simulation from Computer 2 Tomography data

TL;DR

This paper presents a workflow to convert CT medical imaging data into finite element models for interactive surgical simulation, including tissue rupture and force analysis, enhancing training tools in medical imaging.

Contribution

A novel workflow for creating FE-based interactive surgical models from CT data, incorporating tissue rupture simulation and analytical force models.

Findings

FE simulations match published results reasonably well

Analytical models predict reaction forces considering tissue deformation and friction

Differences observed due to tissue rupture toughness parameter Gc

Abstract

Virtual models are important for training and teaching tools used in medical imaging research. We introduce a workflow that can be used to convert volumetric medical imaging data (as generated by Computer Tomography (CT)) to computer-based models where we can perform interaction of tool with the tissue. This process is broken up into two steps: image segmentation and tool-tissue interaction. We demonstrate the utility of this streamlined workflow by creating models of a liver. A FE model for probe insertion has been developed using cohesive elements to simulate the tissue rupture phenomena. FE based simulations are performed and the results are compared with that of various published papers. An analytical model that governs the reaction forces on the needle tip has also been developed. Expressions for reaction forces acting in both axial and transverse directions on a symmetric tip needle and a bevel tip needle are developed. These models consider local tissue deformation by the needle and the frictional forces generated due to the inclusion of the needle in the tissue, but do not consider the role of tissue rupture toughness parameter Gc due to which some differences are visible in FE based simulations and these analytical results.