In this paper, we propose a modeling approach of T-junction structure of serosa and adhesion for constructing various VR surgical fields in laparoscopic cholecystectomy simulator. A lot of anomalies of cystic duct and artery have been reported, and a VR surgery simulator which is able to reproduce such various surgical fields is demanded. Typically, because these duct and artery are covered by the serosa and adhesion, it is necessary to simulate the deformation and ablation of the serosa and adhesion. However, modeling of these anomalous ducts, serosa and adhesion from 3D-CT data is difficult, therefore some efficient modeling approaches are required. We propose a semi-automatic modeling approach for the serosa and adhesion. In evaluation experiment, we show several modeling results by using proposed approach.

This paper aims to perform projector-based shape measurement and augmented reality (AR) in parallel for surgical navigation. Hence, it proposes a shape measurement method which projects AR image and structured light at the same time by embedding structured light into AR image. We evaluated the measurement error by changing the shape of the target object and amplitude. Besides, we evaluated the perception threshold of the embedded pattern by changing frequency and amplitude.