[POSTER] Endoscopic Image Augmentation Reflecting Shape Changes in Cutting Procedures
Megumi Nakao, Shota Endo, Keiho Imanishi, Tetsuya Matsuda · 2015
This paper introduces a concept of endoscopic image augmentation that overlays shape changes to support cutting procedures. This framework handles the history of measured drill tip's location as a volume label, and visualizes the remains to be cut overlaid on the endoscopic image in real time. We performed a cutting experiment, and the efficacy of the cutting aid was evaluated among shape similarity, total moved distance of a cutting tool, and the required cutting time. The results of the experiments showed that cutting performance was significantly improved by the proposed framework.