Tools for augmented-reality-based liver resection planning

Abstract

Surgical resection has evolved to an accepted and widely-used method for the treatment of liver tumors. In order to elaborate an optimal resection strategy, computer-aided planning tools are required. However, measurements based on 2D cross sectional images are difficult to perform. Moreover, resection planning with current desktop-based systems using 3D visualization is also a tedious task because of limited 3D interaction. For facilitating the planning process, different tools are presented allowing easy user interaction in an Augmented Reality environment. Methods for quantitative analysis like volume calculation and distance measurements are discussed with focus on the user interaction aspect. In addition, a tool for automatically generating anatomical resection proposals based on knowledge about tumor locations and the portal vein tree is described. The presented methods are part of an evolving liver surgery planning system which is currently evaluated by physicians.