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In breast reconstruction after a single mastectomy, the surgeon must choose from hundreds of implants to select the one that best replicates the patient’s natural breast. Due to a lack of measurement tools, the surgeon must depend on their previous experience to visually choose the best implant, leading them to compare and use numerous implants to confirm the implant of choice for each patient. In this paper, we investigate the use of finite element modelling (FEM) for improving pre-operative decision-making in determining the optimal implant for a patient based on pre-operative MRI scans. The findings of our preliminary investigation show that FEM can be used to provide input for a comparison system, which can rank implants based on their similarity to a patient model of the natural breast, and the system’s choices are comparable to what human users would make for each patient.

A prototype 3D modelling and visualisation pipeline for improved decision-making in breast reconstruction surgery