Title :
Three-Dimensional Tissue Deformation Recovery and Tracking
Author :
Mountney, Peter ; Stoyanov, Danail ; Yang, Guang-Zhong
fDate :
7/1/2010 12:00:00 AM
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 :
biological tissues; biomechanics; biomedical optical imaging; deformation; endoscopes; medical image processing; medical robotics; surgery; 3D tissue tracking; adaptive surgical navigation; endoscopic images; intraoperative imaging data; intraoperative planning; laparoscopic images; minimally invasive surgery; preoperative imaging data; surgical robotics; three-dimensional tissue deformation recovery; Biomedical optical imaging; Cameras; Instruments; Laparoscopes; Medical robotics; Navigation; Optical imaging; Robot sensing systems; Surgery; Surges;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2010.936728