[POSTER] Deformation Estimation of Elastic Bodies Using Multiple Silhouette Images for Endoscopic Image Augmentation

Akira Saito, Megumi Nakao, Yuki Uranishi, Tetsuya Matsuda
2015 2015 IEEE International Symposium on Mixed and Augmented Reality  
This study proposes a method to estimate elastic deformation using silhouettes obtained from multiple endoscopic images. Our method can estimate the intraoperative deformation of organs using a volumetric mesh model reconstructed from preoperative CT data. We use this elastic body silhouette information of elastic bodies not to model the shape but to estimate the local displacements. The model shape is updated to satisfy the silhouette constraint while preserving the shape as much as possible.
more » ... he result of the experiments showed that the proposed methods could estimate the deformation with root mean square (RMS) errors of 5.0-10 mm.
doi:10.1109/ismar.2015.49 dblp:conf/ismar/SaitoNUM15 fatcat:p3upcdctqrelbno7ewjqo4znea