After following the course, the student:|
• can describe the various aspects of surgical navigation.
• can explain the functionalities of these aspects in the OR.
• can apply the knowledge and understanding to realize navigational functions in a Matlab environment.
• is able to analyse and to design an image guided surgical navigation system.
After attending the course students will have the basic knowledge of advanced surgical navigation. I.e. they understand the navigational principles of imaging, planning, sensing, tracking and controlling, registration, and have a systematic integrated view on these topics. Basic knowledge also includes uncertainty analysis, i.e. the quantification of uncertainties, and the propagation of errors. Students will gain understanding of the functionalities of these techniques within the OR, and understand the workflow. Image guided surgery will serve as a representative example. In addition, students will have the skills to realize some of these techniques in matlab.|
• The navigation chain: imaging, planning, sensing, tracking and controlling
• Coordinate systems, orientation and position, translation and rotation
• Sensory systems: optical tracking, EM tracking,
• Representation of uncertainty: covariance matrices
• Point registration and image registration
The evaluation of the course is organized in 2 parts:
(i) Matlab assignments, and
(ii) a project in which the students design a rudimentary system for “image guided surgery”: The Matlab assignments count for 50%; the project counts for 50%.
This course is only open for TM students.