Model-Assisted Image-Guided Liver Surgery Using Sparse Intraoperative Data

Abstract

This chapter examines the application of intraoperatively acquired sparse data to model-assisted image-guided liver surgery. The results suggest intraoperative deformation correction from computer models and sparse data to be considerable. This is an important step in the translation of image-guided surgery techniques to the abdomen. Moreover, the algorithms explored are a cost-effective solution that potentially improves the application of surgery, is widely adoptable, and is relatively easy to integrate into current surgical workflow practices. While continued investigation towards improvement is needed, these do represent beneficial advances that can affect the clinical application of surgery today.