Modelling and Simulation of Energy Cutting Tool for Soft Tissue Using a Novel extended Finite Element Method.

Background: Energy-based cutting tools combine cutting and haemostasis, making them widely utilised. Accurately predicting tissue deformation during energy-based cutting can provide precise navigation information to enhance surgical outcomes, while existing surgical cutting models focussing on blades-based tools are unable to accurately predict energy cutting deformation.

Methods: This paper aims to propose a novel energy cutting model under different cutting trajectories.

A Force-Sensor-Less Approach for Rapid Young's Modulus Identification of Heterogeneous Soft Tissue.

Due to individual differences, accurate identification of tissue elastic parameters is essential for biomechanical modeling in surgical guidance for hepatic venous injections. This paper aims to acquire the absolute Young's modulus of heterogeneous soft tissues during endoscopic surgery with two-dimensional (2D) ultrasound images. First, we introduced a force-sensor-less approach that utilizes a precalibrated soft patch with a known Young's modulus and its ultrasound images to calculate the external forces exerted by the probe on the tissue.