Teacher Information
- Name
- YANG Liangjing ZJU Faculty Homepage
- Department
- ZJUI
- Research
-
Robotics, Machine Vision, Vision-Guided Micromanipulation
- Document Type
- Book Chapter
Publication
- Chapter Title
-
Real-Time Marker-Free Patient Registration and Image-Based Navigation Using Stereovision for Dental Surgery
- Author
- Chapter
-
2
- Page
-
9-18
- Source Title
-
Augmented Reality Environments for Medical Imaging and Computer-Assisted Interventions
- Author/Author of Source
- Publisher
-
Springer
- P-ISBN
-
9783642408427
- E-ISBN
-
978-3-642-40843-4
- Abstract
-
Surgical navigation techniques have been evolving rapidly in the field of oral and maxillofacial surgery (OMS). However, challenges still exist in the current state of the art of computer-assisted OMS especially from the viewpoint of dental surgery. The challenges include the invasive patient registration procedure, the difficulty of reference marker attachment, navigation error caused by patient movement, bulky optical markers and maintenance of line of sight for commercial optical tracking devices, inaccuracy and susceptibility of electromagnetic (EM) sensors to magnetic interference for EM tracking devices. In this paper, a new solution is proposed to overcome the mentioned challenges. A stereo camera is designed as a tracking device for both instrument tracking and patient tracking, which is customized optimally for the limited surgical space of dental surgery. A small dot pattern is mounted to the surgical tool for instrument tracking, which can be seen by the camera at all times during the operation. The patient registration is achieved by patient tracking and 3D contour matching with the preoperative patient model, requiring no fiducial marker and reference marker. In addition, the registration is updated in real-time. Experiments were performed to evaluate our method and an average overall error of 0.71 mm was achieved.
- DOI
- https://doi.org/10.1007/978-3-642-40843-4_2
Print & Electronic Holdings
- Holdings
-
International Campus Library-Special Collection
- Call Number
-
R445-532/LM1/2013/SC2
- Barcode
- Database
-
Springer
- Link