@inproceedings{ Du2014Non-rigid,

year={ 2014 },

booktitle={ International Conference on Information Processing in Computer-Assisted Interventions },

website={ http://www.cras2014.eu/program.html },

title={ Non-rigid Soft-Tissue Tracking Using Combined Feature and Intensity Information },

keywords={ surface tracking; non-rigid; },

author={ Du, Xiaofei; Stoyanov, Danail; },

abstract={ During robotic-assisted MIS procedures, tissue deformation estimation plays a critical role in improving surgeon’s operating capabilities in a highly dynamic environment. Traditional methods like feature-based methods or intensity-based methods have their limitations when dealing with soft-tissue or complex deformations. In our study, we used a triangular geometric mesh model and presented a hybrid method which combined the advantages of both feature and intensity information. Synthetic and in vivo experiment results showed that the hybrid tracking method is more robust and has improved the capability of correct convergence as a larger displacement of intra-frame occurs. }

}