Tissue Tracking and Registration for Image-Guided Surgery

@article{Yip2012TissueTA,
  title={Tissue Tracking and Registration for Image-Guided Surgery},
  author={Michael C. Yip and David G. Lowe and Septimiu E. Salcudean and Robert Rohling and Christopher Y. Nguan},
  journal={IEEE Transactions on Medical Imaging},
  year={2012},
  volume={31},
  pages={2169-2182}
}

• Michael C. Yip, David G. Lowe, +2 authors Christopher Y. Nguan
• Published in IEEE Transactions on Medical Imaging 2012
• DOI:10.1109/TMI.2012.2212718

Vision-based tracking of tissue is a key component to enable augmented reality during a surgical operation. Conventional tracking techniques in computer vision rely on identifying strong edge features or distinctive textures in a well-lit environment; however endoscopic tissue images do not have strong edge features, are poorly lit and exhibit a high degree of specular reflection. Therefore, prior work in achieving densely populated 3-D features for describing tissue surface profiles require… CONTINUE READING

Save to Library

Create Alert

Cite

View on IEEE