Tracking of Irregular Graphical Structures for Tissue Deformation Recovery in Minimally Invasive Surgery
Tissue deformation tracking is an important topic of minimally invasive surgery with applications ranging from intra-operative guidance to augmented reality visualisation. In this paper, we present a technique for visual tracking of irregular structures with an arbitrary degree of connectivity in space. The variational formulation of the proposed method ensures that correlation is maximised between tracked points and their computed new positions while the overall structure shape variation is minimised, thus maintaining spatial coherence of the tracked structure. The proposed method is applied to surgical annotation and tracking in 3D for telementoring and path-planning. The results are validated both on a CT-scanned phantom model and in vivo, showing an average alignment error of 1.79 mm (± 0.72 mm).
Marco Visentini-Scarzanella Robert Merrifield Danail Stoyanov Guang-Zhong Yang
Royal Society/Wolfson Foundation MIC Laboratory, Institute of Biomedical Engineering,Imperial College London, London SW7 2AZ, United Kingdom Royal Society/Wolfson Foundation MIC Laboratory, Institute of Biomedical Engineering, Imperial Colle
国际会议
北京
英文
261–268
2010-09-01（万方平台首次上网日期，不代表论文的发表时间）