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Three-Dimensional Tissue Deformation Recovery and Tracking

Peter Mountney, Danail Stoyanov, Guang‐Zhong Yang

Year
2010
Citations
187

Abstract

Recent advances in surgical robotics have provided a platform for extending the current capabilities of minimally invasive surgery by incorporating both preoperative and intraoperative imaging data. In this tutorial article, we introduce techniques for in vivo three-dimensional (3-D) tissue deformation recovery and tracking based on laparoscopic or endoscopic images. These optically based techniques provide a unique opportunity for recovering surface deformation of the soft tissue without the need of additional instrumentation. They can therefore be easily incorporated into the existing surgical workflow. Technically, the problem formulation is challenging due to nonrigid deformation of the tissue and instrument interaction. Current approaches and future research directions in terms of intraoperative planning and adaptive surgical navigation are explained in detail.

Keywords

WorkflowComputer scienceInstrumentation (computer programming)RoboticsDeformation (meteorology)Computer visionArtificial intelligenceTracking (education)RobotMedical physics

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