Kies de Nederlandse taal
Course module: 201000262
Surgical Navigation Technology
Course infoSchedule
Course module201000262
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact persondr. F.J. Siepel
Contactperson for the course
dr. F.J. Siepel
dr. F.J. Siepel
Academic year2022
Starting block
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
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.

Short Contents:
•        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.
Assumed previous knowledge
Segmentation and Visualization

Bachelor TM Students who don't have this (yet) need permission of the HKC committee/Examination committee TM.
Participating study
Master Technical Medicine
Required materials
Course material
Syllabi, and Lecture sheets
Course material
Instructions for Matlab assignments, NDI Aurora EM-tracker, Instructions for IGS-project.
Course material
Instructions for project
Course material
HARDWARE: NDI Aurora EM-tracker.
Recommended materials
Instructional modes
Presence dutyYes

Matlab assignments
Presence dutyYes

Presence dutyYes

Test 1

Kies de Nederlandse taal